STEM OPT Python Engineer Jobs
Python Engineer roles qualify for STEM OPT because they require a STEM degree in computer science, software engineering, or a related field. Your 24-month STEM OPT extension is available once your employer enrolls in E-Verify and your DSO updates your I-20. That gives you up to 36 months total to work and build toward H-1B visa sponsorship.
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Requisition ID
94734
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Business Unit
Technology, Data, AI and Ventures (TDAV)
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era — all backed by the stability and purpose of a mutual company built to last.
Department: Corporate Functions Technology
Role Overview
Corporate Functions Technology is building the next generation of AI-enabled applications that support our corporate business units - Legal, Compliance, Risk Management, and other core functions of the enterprise. We are seeking a Python AI Developer to design, build, and operationalize AI features and a reusable enterprise AI/agent services layer that integrates with our existing enterprise application ecosystem.
What You'll Do
- Design and build Python-based AI services (LLM integrations, retrieval-augmented generation, agentic and human-in-the-loop workflows, embeddings/vector search) that expose clean APIs for consumption by existing enterprise applications.
- Design and implement this reusable enterprise AI/agent services layer - a shared set of agent orchestration services, tools, guardrails, and interfaces that applications across Corporate Functions can build on, rather than each team solving agent design independently.
- Partner directly with Enterprise Developers to integrate AI capabilities into existing platforms, defining contracts (REST/gRPC/messaging), data flows, and shared services between the Python AI services layer and application layer.
- Implement guardrails, human oversight mechanisms, monitoring, and evaluation pipelines to ensure AI outputs are accurate, explainable, auditable, and safe for use in a regulated environment.
- Collaborate with Compliance, Risk, Legal, and Model Risk Management stakeholders to ensure AI features meet internal model governance standards and external regulatory expectations (e.g., state insurance regulations, NAIC guidance, SR 11-7-style model risk frameworks, data privacy requirements).
- Build and maintain data pipelines and integrations connecting AI services to internal systems of record, ensuring appropriate handling of sensitive policyholder, HR, and financial data.
- Write production-quality, well-tested, well-documented Python code and contribute to CI/CD pipelines, observability, and operational readiness for AI services.
- Participate in architecture reviews, security reviews, and model validation exercises as part of the enterprise AI governance process.
- Stay current on the evolving AI/ML and agentic tooling landscape and bring forward recommendations for responsible adoption within a highly regulated environment.
What You'll Bring
Required Skills
- 4+ years of professional software development experience, with strong hands-on Python skills in an enterprise environment.
- Demonstrated experience building applications or services using LLMs - e.g., prompt engineering, RAG pipelines, embeddings/vector databases, function/tool calling, or agent frameworks.
- Hands-on experience evaluating and testing LLM-based applications, including designing representative test sets, defining quality and safety metrics, performing regression testing, and/or implementing automated evaluation pipelines.
- Experience with Model Context Protocol (MCP), including building MCP servers, defining tools/resources, integrating MCP clients, and securely connecting AI agents to enterprise systems and APIs.
- Experience designing and consuming REST APIs and integrating services across different technology stacks - direct experience partnering with or integrating into Java-based systems is highly valued.
- Solid understanding of software engineering fundamentals: version control, testing, CI/CD, code review, and secure coding practices.
- Experience working with cloud platforms (GCP and/or AWS) and containerized deployment (Docker/Kubernetes).
- Familiarity with data privacy, security, and governance considerations relevant to handling sensitive personal and financial data.
- Strong communication skills and comfort working cross-functionally with engineering, compliance, risk, and business stakeholders.
Preferred Skills
- Experience in insurance, financial services, banking, or another highly regulated industry.
- Exposure to model risk management, AI/ML governance frameworks, or working alongside Compliance/Legal on AI-related controls.
- Experience with AI platform and agent orchestration technologies, such as Google Vertex AI / Agent Development Kit (ADK), or similar agent orchestration frameworks.
- Familiarity with enterprise Java ecosystems (Spring Boot, messaging middleware such as Kafka, enterprise service buses) sufficient to design effective integration points with Java teams.
- Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, OpenSearch) and retrieval architectures.
- Bachelor's or advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Why This Role Matters
AI adoption in regulated industries like life insurance requires more than technical skill - it requires the judgment to build responsibly, the collaboration skills to integrate with long-standing enterprise systems, and a genuine commitment to trust, transparency, and compliance. This role offers the opportunity to shape a foundational, reusable enterprise AI/agent services capability for Corporate Functions, working closely with experienced enterprise engineering teams and directly influencing how AI is safely and effectively adopted across the organization.
This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, or responsibilities associated with the role.
Pay Transparency
- Salary Range: $100,000-$143,000
- Overtime eligible: Exempt
- Discretionary bonus eligible: Yes
- Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
Job Requisition ID: 94734
Job Description
Requisition ID
94734
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Business Unit
Technology, Data, AI and Ventures (TDAV)
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era — all backed by the stability and purpose of a mutual company built to last.
Department: Corporate Functions Technology
Role Overview
Corporate Functions Technology is building the next generation of AI-enabled applications that support our corporate business units - Legal, Compliance, Risk Management, and other core functions of the enterprise. We are seeking a Python AI Developer to design, build, and operationalize AI features and a reusable enterprise AI/agent services layer that integrates with our existing enterprise application ecosystem.
What You'll Do
- Design and build Python-based AI services (LLM integrations, retrieval-augmented generation, agentic and human-in-the-loop workflows, embeddings/vector search) that expose clean APIs for consumption by existing enterprise applications.
- Design and implement this reusable enterprise AI/agent services layer - a shared set of agent orchestration services, tools, guardrails, and interfaces that applications across Corporate Functions can build on, rather than each team solving agent design independently.
- Partner directly with Enterprise Developers to integrate AI capabilities into existing platforms, defining contracts (REST/gRPC/messaging), data flows, and shared services between the Python AI services layer and application layer.
- Implement guardrails, human oversight mechanisms, monitoring, and evaluation pipelines to ensure AI outputs are accurate, explainable, auditable, and safe for use in a regulated environment.
- Collaborate with Compliance, Risk, Legal, and Model Risk Management stakeholders to ensure AI features meet internal model governance standards and external regulatory expectations (e.g., state insurance regulations, NAIC guidance, SR 11-7-style model risk frameworks, data privacy requirements).
- Build and maintain data pipelines and integrations connecting AI services to internal systems of record, ensuring appropriate handling of sensitive policyholder, HR, and financial data.
- Write production-quality, well-tested, well-documented Python code and contribute to CI/CD pipelines, observability, and operational readiness for AI services.
- Participate in architecture reviews, security reviews, and model validation exercises as part of the enterprise AI governance process.
- Stay current on the evolving AI/ML and agentic tooling landscape and bring forward recommendations for responsible adoption within a highly regulated environment.
What You'll Bring
Required Skills
- 4+ years of professional software development experience, with strong hands-on Python skills in an enterprise environment.
- Demonstrated experience building applications or services using LLMs - e.g., prompt engineering, RAG pipelines, embeddings/vector databases, function/tool calling, or agent frameworks.
- Hands-on experience evaluating and testing LLM-based applications, including designing representative test sets, defining quality and safety metrics, performing regression testing, and/or implementing automated evaluation pipelines.
- Experience with Model Context Protocol (MCP), including building MCP servers, defining tools/resources, integrating MCP clients, and securely connecting AI agents to enterprise systems and APIs.
- Experience designing and consuming REST APIs and integrating services across different technology stacks - direct experience partnering with or integrating into Java-based systems is highly valued.
- Solid understanding of software engineering fundamentals: version control, testing, CI/CD, code review, and secure coding practices.
- Experience working with cloud platforms (GCP and/or AWS) and containerized deployment (Docker/Kubernetes).
- Familiarity with data privacy, security, and governance considerations relevant to handling sensitive personal and financial data.
- Strong communication skills and comfort working cross-functionally with engineering, compliance, risk, and business stakeholders.
Preferred Skills
- Experience in insurance, financial services, banking, or another highly regulated industry.
- Exposure to model risk management, AI/ML governance frameworks, or working alongside Compliance/Legal on AI-related controls.
- Experience with AI platform and agent orchestration technologies, such as Google Vertex AI / Agent Development Kit (ADK), or similar agent orchestration frameworks.
- Familiarity with enterprise Java ecosystems (Spring Boot, messaging middleware such as Kafka, enterprise service buses) sufficient to design effective integration points with Java teams.
- Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, OpenSearch) and retrieval architectures.
- Bachelor's or advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Why This Role Matters
AI adoption in regulated industries like life insurance requires more than technical skill - it requires the judgment to build responsibly, the collaboration skills to integrate with long-standing enterprise systems, and a genuine commitment to trust, transparency, and compliance. This role offers the opportunity to shape a foundational, reusable enterprise AI/agent services capability for Corporate Functions, working closely with experienced enterprise engineering teams and directly influencing how AI is safely and effectively adopted across the organization.
This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, or responsibilities associated with the role.
Pay Transparency
- Salary Range: $100,000-$143,000
- Overtime eligible: Exempt
- Discretionary bonus eligible: Yes
- Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
Job Requisition ID: 94734
See all 40+ STEM OPT Python Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Python Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Python Engineer
Verify your degree qualifies by CIP code
Check your degree's CIP code against the DHS STEM Designated Degree Program List before applying. Computer science, information systems, and software engineering CIP codes all qualify, but interdisciplinary or applied programs sometimes don't, and catching this early prevents a denied extension.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers to confirm their E-Verify company ID during the offer stage, not after. Employers can look enrolled but have lapsed accounts, and USCIS won't approve your STEM OPT extension if your employer's E-Verify participation isn't active on your start date.
Target employers with active H-1B LCA filings
Search Migrate Mate to filter Python Engineer roles by employers who have filed H-1B Labor Condition Applications. Employers with recent LCA history have already built the internal process to support work authorization transitions, which matters when your STEM OPT window closes.
Build your I-983 training plan around deliverables
Your I-983 training agreement must connect your Python work to your STEM degree field with specific learning objectives. Vague descriptions like 'software development tasks' get flagged during ICE audits. Tie each goal to a concrete deliverable, such as a production API, data pipeline, or model deployment.
File your STEM OPT extension 90 days before OPT expires
Submit your I-765 extension application to USCIS no later than 90 days before your current OPT EAD expires. If USCIS doesn't adjudicate in time, your cap-gap protection only applies if an H-1B petition is already pending, so timing the filing early reduces your exposure.
Use OFLC Wage Search to benchmark your offer wage
Python Engineer prevailing wages vary by experience level and metro area. Pull the wage level for your SOC code using the OFLC Wage Search before negotiating, so you know whether your offer meets the DOL threshold your employer will certify on the LCA when filing your H-1B.
Frequently Asked Questions
Does a Python Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, software engineering, information technology, or mathematics, and your role involves applying that training. USCIS evaluates whether the job is directly related to your degree field, not just the job title. Roles involving data pipelines, backend systems, or machine learning models typically satisfy that connection for STEM-trained engineers.
Does my employer need to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a strict requirement for STEM OPT. Your employer must be actively enrolled and in good standing with E-Verify on your employment start date. Ask for your employer's E-Verify company ID and confirm it directly with the E-Verify program before signing an offer. Without this, USCIS will deny your extension application regardless of your eligibility.
What goes into the I-983 training plan for a Python Engineer?
The I-983 requires a detailed training plan that maps your Python Engineering work to your STEM degree field. You'll need to list specific learning objectives, the skills you'll develop, and measurable outcomes tied to your role. For a Python Engineer, this typically means documenting how your work on APIs, automation, data processing, or software architecture applies concepts from your computer science or engineering coursework.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your employer files an H-1B petition before your STEM OPT EAD expires and it's selected in the lottery, cap-gap protection automatically extends your work authorization through September 30 of that year. Your status remains valid even if your EAD physically expires. You can continue working as a Python Engineer during this window without a new EAD, as long as the H-1B petition remains pending or approved.
Where can I find Python Engineer jobs that are open to STEM OPT students?
Migrate Mate lists Python Engineer roles filtered by employers with active H-1B LCA filing history, which identifies companies already set up to support work authorization. Because STEM OPT requires E-Verify enrollment, targeting employers with demonstrated sponsorship history reduces the risk of accepting an offer from a company that can't actually support your status extension or future H-1B transition.