Headquarters: United States
URL: http://te.com

Job Posting Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)  
Job ID: 152378 
Job Code: 30005338    
Business Unit: [[businessUnit]]  
Building: TYCO ELECTRONICS 3101 FMR (128)  
Band/Level: 4  
Hiring Manager: Payal Jain 
Recruiter: Pete Roosendaal
Relocation: No  
Travel: Less than 10%  
Employee Referral Amount: $1,500.00  
Education Experience: Bachelors Degree (High School +4 years)  
Employment Experience: 5-7 years  

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

​
 

Job Overview

The AI Business Acceleration Manager is a hands-on AI product and enablement leader responsible for identifying and delivering high-impact AI and automation initiatives across the ACL sector.
This role focuses on identifying and documenting AI use cases, developing POCs, and collaborating with the Enterprise AI Governance Council to scale practical AI solutions that improve overall operational efficiency and commercial performance. Working closely with various BU leaders and stakeholders across manufacturing, supply chain, marketing, sales, customer care, and data teams, this individual translates business needs into AI-enabled solutions, focusing on driving measurable results through disciplined execution.

 

***The ideal candidate will reside within a 3-hour drive of the Harrisburg, PA metro area***

 

Key Responsibilities

 

AI Use Case Identification & Delivery
•    Identify, validate, and prioritize high-value AI and automation opportunities aligned with ACL sector priorities across CLS, IND, and PTS.
•    Translate business challenges into actionable AI and automation initiatives, partnering with data, tech teams, and process owners, as needed, to define solutions.
•    Ensure solutions are scalable, practical, and embedded into existing workflows.
•    Build business cases and define measurable ROI and success criteria for initiatives.
•    Establish a demand management framework to identify and prioritize AI and advanced analytics initiatives. 

 

AI Enablement & Adoption
•    Promote responsible and effective use of AI tools such as TELme, Copilot, and ChatGPT Enterprise.
•    Lead AI Trailblazer team meetings by demonstrating practical use cases that improve day-to-day productivity and decision-making and establish AI champions across various functions.
•    Support AI literacy efforts across ACL sector BUs.
•    Track adoption and gather feedback to improve ongoing engagement and AI usage.
•    Build and sustain an AI community of practice within the ACL sector to share lessons learned, tools, and best practices.

 

Cross-Functional Execution
•    Partner with functional leaders to prioritize use cases based on value and feasibility.
•    Coordinate with data, analytics, tech, and process teams to implement AI solutions.
•    Remove blockers and drive progress through structured project management.
•    Ensure alignment with enterprise platforms (Salesforce, SAP, Databricks, etc.).
•    Lead end-to-end delivery of approved AI use cases from concept through pilot and scale.

 

Data Readiness to enable AI use cases
•    Partner closely with the AI Governance Council to ensure priority use cases across ACL BU’s are presented for solutioning.
•    Partner closely with Data & Analytics teams to ensure priority AI use cases have the data access and quality needed for execution.
•    Act as the business bridge, translating AI requirements into clear data needs while ensuring compliance with existing governance and security standards.
•    Identify data gaps impacting AI use case execution.
•    Support creation of curated datasets required for specific AI initiatives.

 

Performance Measurement
•    Define and track KPIs for AI initiatives (revenue impact, productivity gains, cycle time reduction).
•    Monitor pilot performance and recommend scaling decisions.
•    Document lessons learned and identify reusable assets.
•    Stay current on emerging AI tools and technologies.

What your background should look like:

Qualifications:
•    Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS, or equivalent) preferred.
•    6–8 years of experience in digital product management, business transformation, AI enablement, or automation.
•    Experience delivering AI, analytics, or workflow automation solutions in a matrixed organization.
•    Working knowledge of LLMs, prompt engineering, workflow automation tools, or Python scripting.
•    Strong understanding of enterprise data environments (Salesforce, SAP, Snowflake, Databricks, etc.).
•    Demonstrated ability to translate business challenges into practical digital solutions.
•    Strong communication and influence skills; able to inspire adoption and align senior stakeholders.

 

Success Metrics:
•    Successful delivery of prioritized AI use cases within agreed timelines.
•    Measurable business value generated (efficiency, revenue enablement, cost reduction).
•    Adoption rate of deployed AI tools within supported functions.
•    Reusability of developed AI assets across teams.
•    Increased AI literacy within supported business units.
•    Demonstrated an AI-first mindset and proactive experimentation within ACL BU’s.

 

Join our team and play a pivotal role in transforming how TE Connectivity’s ACL Sector leverages AI and automation to drive growth, efficiency, and customer impact. If you’re passionate about building innovative AI solutions, raising the bar on digital capability, and shaping the future of how our teams work, we’d love to hear from you!

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, TeamworkSET : Strategy, Execution, Talent (for managers)

COMPENSATION
•    Competitive base salary commensurate with experience: $161,200 - $241,800 (subject to change dependent on physical location)
•    Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
•    Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
•    A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets

 

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

To apply: https://weworkremotely.com/remote-jobs/te-connectivity-ai-business-acceleration-manager-remote-harrisburg-pa-area

NeoWork is seeking an AI Content Production Moderator to join our creative services team. This role will be responsible for creating AI-generated content, performing quality assurance on outputs, and supporting high-volume creative production initiatives for enterprise brand clients.

The ideal candidate has a strong creative background, excellent attention to detail, and the ability to thrive in a fast-paced, high-volume production environment.

Key Responsibilities

• Create and manage AI-generated content across various creative projects and campaigns.
• Perform quality assurance reviews to ensure content accuracy, consistency, and adherence to brand guidelines.
• Edit and produce video content to support client deliverables and live stream initiatives.
• Support large-scale content production efforts for enterprise clients, ensuring timely delivery and high-quality outputs.
• Monitor and moderate AI-generated assets, identifying and resolving content issues as needed.
• Collaborate with cross-functional teams to optimize creative workflows and production processes.
• Quickly learn and utilize proprietary platforms, tools, and emerging AI technologies.
• Maintain high standards of creativity, quality, and operational efficiency in all deliverables.

Qualifications

• Experience in AI-generated content creation and quality assurance workflows.
• Strong video editing and creative production skills.
• Excellent attention to detail and a strong eye for content quality and brand consistency.
• Technical aptitude with the ability to quickly learn new platforms, tools, and systems.
• Ability to manage multiple projects and work effectively in a high-volume, fast-turnaround environment.
• Strong communication and collaboration skills.
• Previous experience supporting digital content, creative services, or media production teams is highly preferred.

Preferred Qualifications

• Experience working with enterprise clients or large-scale content production environments.

• Familiarity with live stream operations and digital content moderation.

• Knowledge of AI content generation tools and emerging creative technologies.

• Minimum 2 years of experience in multimedia production, photo/video editing, or similar roles.

• Strong visual and spatial awareness — ability to assess layouts, proportions, and presentation quality in 3D/Matterport environments.

• Proficiency in Adobe Creative Suite, particularly Photoshop, Lightroom, or Premiere.

• Detail-oriented and proactive, with strong organizational and quality assurance skills.

• Comfortable working with digital tools and adaptable to learning new technologies or platforms quickly.

• Competitive compensation package

• Fully remote work arrangement

• HMO coverage for employee health and wellness

• Gym stipend allowance to support fitness and well-being

• Career growth and professional development opportunities

• Supportive and collaborative work culture

About NeoWork

NeoWork connects talented professionals with global clients, providing high-quality staffing solutions across creative, technical, and administrative roles. We focus on matching the right talent with the right opportunities to help teams grow and succeed.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world’s largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Stripe Marketing organization is undergoing a fundamental transformation in how it works. We’re building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work — not an occasional tool, but the foundation of how every marketer at Stripe executes.

Today, marketers are already achieving remarkable results — building their own data dashboards, creating agents that compress multi-day processes, and authoring tools that accelerate workflows. The FDA team exists to take what’s working and systematically scale it across the entire marketing organization.

What you’ll do

As a Forward Deployed AI Accelerator, you’ll be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You’ll build alongside them, and you’ll help them fundamentally change how they operate. Your measure of success is the number of workflows you’ve permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities

• Identify and document the highest-leverage workflow transformations within your group’s day-to-day work by deeply understanding their processes and outputs • Build custom tools, agents, automations, and skills tailored to each marketer’s specific responsibilities
• Coach and partner with each marketer through a progressive journey — from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency • Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works — a tool built for one marketer will be reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team uses each other’s work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future — not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are

We’re looking for people who have already lived the transformation they’ll be driving for others. You’ve used AI to fundamentally change how you work — not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don’t just know what AI can do in theory — you’ve built things that changed how real work gets done. You build in real time alongside the people you support.
• You are an outstanding coach and communicator. You meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone’s work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You’re the kind of person who succeeds in many roles at Stripe.
• You bias toward action and speed. You’d rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what’s theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements

• 5+ years of professional experience in a role requiring diagnostic thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot — building with it)
• Track record of coaching, teaching, or enabling others — formally or informally — with evidence that people you’ve helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you’ll be supporting approximately 20 marketers at varying stages of their AI journey)

Preferred qualifications

• Experience in marketing, marketing operations, growth, or a closely adjacent function
• Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Codex, custom agent frameworks, API integrations, workflow automation tools)
• Experience with change management, organizational transformation, or large-scale enablement programs
• Familiarity with marketing technology stacks (e.g., Marketo, Salesforce, analytics platforms, content management tools)
• Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team
• Background in consulting, solutions engineering, technical account management, or other client-facing technical roles

Hi there :)

Thanks for checking in to find out about our open position. We´ll provide as much information as possible, but please feel free to reach us if you have further questions. We´ll be happy to see your application, even if there are skills you don’t quite master!

About South Geeks

South Geeks connects elite, AI-fluent engineers from Latin America with future-shaping companies in Health and Wealth. We’re hiring an RPA Developer to join one of our clients, a biotechnology company advancing immune-driven medicine through precision diagnostics and research.

About the Role

Our client is expanding its use of UiPath to automate core business processes. We’re looking for RPA Developers to design, build, and support automation workflows that free their teams to focus on higher-value work. This is a remote, long-term engagement with a company solving real problems in immune-driven medicine.

What You’ll Do

• Analyze business processes and identify automation opportunities

• Design and develop UiPath workflows, bots, and automation components

• Collaborate with business stakeholders to gather requirements and define automation scope

• Create Process Design Documents (PDD) and Solution Design Documents (SDD)

• Configure UiPath Orchestrator for bot scheduling, monitoring, and management

• Build reusable automation components and follow best practices

• Perform unit and integration testing, and support UAT activities

• Troubleshoot and resolve bot failures and production issues

• Monitor bot performance and drive continuous improvement

• Maintain technical documentation and knowledge repositories

• Ensure compliance with security, audit, and governance standards

• Support production deployments and hypercare activities

What You Bring

• 4+ years of UiPath development experience

• Strong knowledge of UiPath Studio, Orchestrator, and REFramework

• Experience with APIs, Excel automation, PDF processing, email automation, and web applications

• Knowledge of SQL and database integration

• Understanding of software development lifecycle and Agile methodologies

• Strong communication skills and comfort working directly with clients

Nice to Have

• Prior experience in biotech, healthtech, or another regulated industry

Why South Geeks

• Competitive rates, paid in USD

• Full-time, long-term engagement

• Continuous training and development

• Performance coaching to support your career growth

• Paid time off

• Ongoing English classes

• International, state-of-the-art projects

• 100% remote

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

About the ClientWe’re helping an innovative accounting technology business find an AI Automation Specialist to help build the next generation of AI-powered bookkeeping and accounting systems.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We’re looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You’ll take the platform capabilities our engineering teams build—agents, workflows, memory, reasoning, integrations, and tools—and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You’ll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with real operational value.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities.
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
• Translate ambiguous problems into intuitive AI experiences.
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions.
• Partner closely with platform engineers to inform abstractions and reusable components.
• Identify common patterns across customer deployments and help evolve them into reusable products.
• Own customer-facing quality—from UX and reliability to performance and evaluation.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration.
• Ability to move quickly from idea to working product while maintaining high engineering quality.
• Strong product instincts—you care about whether something is useful, not just technically impressive.
• Experience integrating APIs, enterprise systems, and external data sources.
• Excellent communication and collaboration across engineering and product teams
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right.
• Drive to foster a culture of collaboration, psychological safety, and technical excellence.
• Strong advocate for inclusion in technical discussions at all levels.

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Compensation Information

$150,000—$200,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We’re looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You’ll take the platform capabilities our engineering teams build—agents, workflows, memory, reasoning, integrations, and tools—and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You’ll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with real operational value.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities.
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
• Translate ambiguous problems into intuitive AI experiences.
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions.
• Partner closely with platform engineers to inform abstractions and reusable components.
• Identify common patterns across customer deployments and help evolve them into reusable products.
• Own customer-facing quality—from UX and reliability to performance and evaluation.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration.
• Ability to move quickly from idea to working product while maintaining high engineering quality.
• Strong product instincts—you care about whether something is useful, not just technically impressive.
• Experience integrating APIs, enterprise systems, and external data sources.
• Excellent communication and collaboration across engineering and product teams
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right.
• Drive to foster a culture of collaboration, psychological safety, and technical excellence.
• Strong advocate for inclusion in technical discussions at all levels.

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Compensation Information

$150,000—$200,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.