H-1B Visa Software Engineer AI Jobs
Software Engineer AI roles sit squarely within H-1B specialty occupation requirements, making them strong candidates for sponsorship. Employers filing Labor Condition Applications for these positions must meet DOL prevailing wage standards, and many actively sponsor H-1B transfers for candidates already in status.
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Get Access To All JobsAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Lilly is on a mission to transform medicine, and technology is at the heart of that transformation. As a Full-Stack Developer within Lilly's Medicines Development organization, you will engineer the platforms, tools, and applications that power Lilly's global clinical research efforts, with a primary focus on the Statistics and Clinical organizations.
You will work at the intersection of data, science, and software, partnering with statisticians, clinical scientists, and regulatory professionals to deliver high-quality, compliant solutions that accelerate drug development worldwide. A central part of this role is designing and building AI-powered and agentic applications that automate complex clinical workflows, augment scientific decision-making, and modernize how Lilly's research teams operate at scale.
This is a high-impact role for an engineer who is energized by the frontier of applied AI, excited by the complexity of regulated clinical computing environments, and motivated by the opportunity to directly improve patient outcomes.
- Own capabilities from concept to production, partnering with business stakeholders to shape requirements, driving delivery through cross-functional teams, and ensuring solutions are adopted and sustained in a regulated environment
- Design, develop, and maintain full-stack applications that support clinical trial data workflows, statistical computing, and regulatory reporting pipelines.
- Architect and build AI-powered and agentic applications, including LLM-integrated tools, multi-step autonomous agents, and MCP-based workflows that automate high-complexity tasks across the clinical and statistics organizations.
- Collaborate closely with global statisticians and clinical data scientists to translate analytical requirements into robust, scalable software solutions, surfacing AI capabilities that meaningfully reduce manual effort.
- Build and extend integrations across Lilly's clinical data ecosystem, including platforms such as CLUWE (Clinical Trial Data Platform), statistical computing environments (SCE), and downstream regulatory submission tooling.
- Develop APIs, microservices, and data processing pipelines that handle sensitive clinical data in compliance with 21 CFR Part 11, GxP standards, and Lilly data governance policies, including AI systems operating in those environments.
- Partner with DevOps and cloud engineering teams to deploy and maintain applications, including agentic systems, on enterprise cloud infrastructure.
- Participate in Agile ceremonies, contribute to product roadmaps, and continuously improve engineering practices, code quality, and documentation.
- Stay current on the rapidly evolving AI and agentic landscape, evaluating new frameworks and patterns that can be responsibly applied within Lilly's regulated development environment.
- Serve as a trusted technology partner to clinical and statistics leadership, translating complex technical concepts into clear business value and actively contributing to roadmap prioritization, resource planning, and stakeholder alignment.
Your Basic Minimum Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
- 3+ years of full-stack software development experience with production-deployed applications.
- Strong proficiency in Python for backend development and data processing.
- Demonstrated ability to collaborate across cross-functional teams, including non-technical scientific or clinical stakeholders.
- Excellent communication skills, with experience translating complex technical concepts for diverse audiences.
As part of the interview process, you may be required to showcase your coding and problem-solving skills by completing a CoderPad exercise.
What You Should Bring
Languages
Python (primary), JavaScript/TypeScript, SQL; familiarity with R a plus
AI & Agentic
Hands-on experience building LLM-integrated applications; familiarity with agentic frameworks (e.g., LangChain, LangGraph, AutoGen, or MCP); prompt engineering; RAG architecture; responsible AI principles
Frontend
React or Vue.js; responsive UI design; data visualization libraries (e.g., Plotly, D3.js)
Backend
RESTful API design; FastAPI or Flask; Node.js; GraphQL
Data & Pipelines
Pandas, NumPy, PySpark; ETL/ELT pipeline development; familiarity with clinical data standards (CDISC SDTM, ADaM)
Cloud & DevOps
AWS or Azure; Docker; CI/CD pipelines; Git/version control
Databases
PostgreSQL, SQL Server, or Oracle; working knowledge of both relational and NoSQL data stores
Security & Compliance
Experience in regulated or GxP environments; understanding of audit trails, electronic signatures, and data integrity principles (21 CFR Part 11)
- Prior experience in a clinical, pharmaceutical, or life sciences technology environment.
- Exposure to statistical software environments such as SAS or SAS Viya, and awareness of SAS-to-open-source migration patterns.
- Familiarity with clinical trial data standards (CDISC, SDTM, ADaM) and regulatory submission processes.
- Experience building AI-assisted or agentic workflows, including LLM integrations or MCP-based architectures.
- Knowledge of ServiceNow or similar ITSM platforms within a GxP-compliant organization.
Location & Work Flexibility
This role is based at our Corporate Center in Indianapolis, IN. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week, supporting both collaboration and work-life balance.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$64,500 - $158,400
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Lilly is on a mission to transform medicine, and technology is at the heart of that transformation. As a Full-Stack Developer within Lilly's Medicines Development organization, you will engineer the platforms, tools, and applications that power Lilly's global clinical research efforts, with a primary focus on the Statistics and Clinical organizations.
You will work at the intersection of data, science, and software, partnering with statisticians, clinical scientists, and regulatory professionals to deliver high-quality, compliant solutions that accelerate drug development worldwide. A central part of this role is designing and building AI-powered and agentic applications that automate complex clinical workflows, augment scientific decision-making, and modernize how Lilly's research teams operate at scale.
This is a high-impact role for an engineer who is energized by the frontier of applied AI, excited by the complexity of regulated clinical computing environments, and motivated by the opportunity to directly improve patient outcomes.
- Own capabilities from concept to production, partnering with business stakeholders to shape requirements, driving delivery through cross-functional teams, and ensuring solutions are adopted and sustained in a regulated environment
- Design, develop, and maintain full-stack applications that support clinical trial data workflows, statistical computing, and regulatory reporting pipelines.
- Architect and build AI-powered and agentic applications, including LLM-integrated tools, multi-step autonomous agents, and MCP-based workflows that automate high-complexity tasks across the clinical and statistics organizations.
- Collaborate closely with global statisticians and clinical data scientists to translate analytical requirements into robust, scalable software solutions, surfacing AI capabilities that meaningfully reduce manual effort.
- Build and extend integrations across Lilly's clinical data ecosystem, including platforms such as CLUWE (Clinical Trial Data Platform), statistical computing environments (SCE), and downstream regulatory submission tooling.
- Develop APIs, microservices, and data processing pipelines that handle sensitive clinical data in compliance with 21 CFR Part 11, GxP standards, and Lilly data governance policies, including AI systems operating in those environments.
- Partner with DevOps and cloud engineering teams to deploy and maintain applications, including agentic systems, on enterprise cloud infrastructure.
- Participate in Agile ceremonies, contribute to product roadmaps, and continuously improve engineering practices, code quality, and documentation.
- Stay current on the rapidly evolving AI and agentic landscape, evaluating new frameworks and patterns that can be responsibly applied within Lilly's regulated development environment.
- Serve as a trusted technology partner to clinical and statistics leadership, translating complex technical concepts into clear business value and actively contributing to roadmap prioritization, resource planning, and stakeholder alignment.
Your Basic Minimum Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
- 3+ years of full-stack software development experience with production-deployed applications.
- Strong proficiency in Python for backend development and data processing.
- Demonstrated ability to collaborate across cross-functional teams, including non-technical scientific or clinical stakeholders.
- Excellent communication skills, with experience translating complex technical concepts for diverse audiences.
As part of the interview process, you may be required to showcase your coding and problem-solving skills by completing a CoderPad exercise.
What You Should Bring
Languages
Python (primary), JavaScript/TypeScript, SQL; familiarity with R a plus
AI & Agentic
Hands-on experience building LLM-integrated applications; familiarity with agentic frameworks (e.g., LangChain, LangGraph, AutoGen, or MCP); prompt engineering; RAG architecture; responsible AI principles
Frontend
React or Vue.js; responsive UI design; data visualization libraries (e.g., Plotly, D3.js)
Backend
RESTful API design; FastAPI or Flask; Node.js; GraphQL
Data & Pipelines
Pandas, NumPy, PySpark; ETL/ELT pipeline development; familiarity with clinical data standards (CDISC SDTM, ADaM)
Cloud & DevOps
AWS or Azure; Docker; CI/CD pipelines; Git/version control
Databases
PostgreSQL, SQL Server, or Oracle; working knowledge of both relational and NoSQL data stores
Security & Compliance
Experience in regulated or GxP environments; understanding of audit trails, electronic signatures, and data integrity principles (21 CFR Part 11)
- Prior experience in a clinical, pharmaceutical, or life sciences technology environment.
- Exposure to statistical software environments such as SAS or SAS Viya, and awareness of SAS-to-open-source migration patterns.
- Familiarity with clinical trial data standards (CDISC, SDTM, ADaM) and regulatory submission processes.
- Experience building AI-assisted or agentic workflows, including LLM integrations or MCP-based architectures.
- Knowledge of ServiceNow or similar ITSM platforms within a GxP-compliant organization.
Location & Work Flexibility
This role is based at our Corporate Center in Indianapolis, IN. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week, supporting both collaboration and work-life balance.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$64,500 - $158,400
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
See all 4,291+ Software Engineer AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Software Engineer AI
Align your resume to SOC codes
AI engineering roles map to specific Standard Occupational Classification codes that employers use when filing LCAs with DOL. Check the O*NET profile for your target title and mirror that language in your resume to strengthen your specialty occupation case.
Target employers with LCA filing history
Use Migrate Mate to filter Software Engineer AI roles by verified DOL Labor Condition Application data, so you're applying to employers who have already navigated H-1B sponsorship for this occupation rather than asking them to start from scratch.
Document your AI specialization with project artifacts
USCIS officers scrutinize whether an AI engineering role genuinely requires a specialty degree. Prepare a portfolio showing model architectures, published work, or proprietary system contributions that demonstrate the theoretical and applied depth the petition needs to support.
Negotiate LCA wage level placement before signing
DOL assigns prevailing wage levels one through four based on experience and complexity. Accepting a Level 1 placement when your role involves independent research or system design can underpay you and signal to USCIS that the position lacks the seniority its title implies.
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Find Software Engineer AI JobsSoftware Engineer AI H-1B Visa: Frequently Asked Questions
Do Software Engineer AI roles qualify as H-1B specialty occupations?
Yes. Software Engineer AI positions require at least a bachelor's degree in computer science, machine learning, or a directly related field, which satisfies the specialty occupation definition under USCIS guidelines. Roles involving model development, neural architecture design, or applied research carry particularly strong qualification arguments because the theoretical depth of the degree is directly tied to the daily work.
How do I find employers actively sponsoring H-1B visas for AI engineering roles?
Migrate Mate filters Software Engineer AI listings by verified DOL Labor Condition Application filing history, so every employer you see has a documented record of sponsoring H-1B workers in comparable roles. This saves you from applying to companies that list AI roles but have never navigated the sponsorship process for this occupation category.
Can I transfer my H-1B to a new AI engineering employer mid-status?
Yes. Under H-1B portability rules, you can begin working for a new employer as soon as they file a non-frivolous I-129 transfer petition, without waiting for approval, provided you've been in valid H-1B status and haven't accrued unlawful presence. The new employer files a fresh LCA with DOL and an I-129 with USCIS listing the AI engineering role details.
What prevailing wage level should a Software Engineer AI role fall under?
Most mid-level and senior AI engineering positions warrant a Level 3 or Level 4 prevailing wage under DOL's OFLC Wage Search, reflecting the independent judgment and specialized expertise the work requires. Accepting a Level 1 or Level 2 placement for a role involving original model development or research can create inconsistencies that USCIS may flag during adjudication.
Does working on proprietary AI systems strengthen or complicate an H-1B petition?
It strengthens it. Proprietary system work demonstrates that the role requires specific, non-generic knowledge tied to a degree-level theoretical foundation, which directly supports the specialty occupation argument. Be prepared to provide a detailed job duties letter from your employer describing the systems you work on, the degree requirements they impose, and why the work can't be performed without that educational background.
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