STEM OPT Python Developer Jobs
Python Developer roles in software engineering, data science, and machine learning qualify for the 24-month STEM OPT extension, giving you up to 36 months of F-1 work authorization. Your employer must be enrolled in E-Verify, and your degree must align with an approved STEM CIP code to activate the extension.
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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 39+ STEM OPT Python Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Python Developer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Python Developer
Verify your degree qualifies before applying
Cross-check your degree's CIP code against the STEM Designated Degree Program List published by USCIS. Computer science, information systems, and applied mathematics degrees typically qualify, but your specific program title must match an approved code.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether their company is enrolled in E-Verify before signing. You can also verify enrollment status through the E-Verify employer search tool, which is publicly accessible without an account.
Target Python roles tied to your STEM discipline
Python Developer positions in data engineering, scientific computing, or backend infrastructure align more cleanly with STEM OPT than general web development. Roles connected to your degree field reduce DSO scrutiny when your training plan is reviewed.
File your I-983 training plan before your OPT end date
Your employer must sign the I-983 before your initial OPT expires and your STEM extension begins. Build in time for back-and-forth on the learning objectives section, since managers unfamiliar with USCIS requirements often need multiple revisions.
Search Migrate Mate to find Python roles at E-Verify employers
Migrate Mate filters Python Developer listings to employers with confirmed E-Verify enrollment and STEM OPT hiring history, saving you from screening dozens of postings that can't legally hire you under the extension.
Track your cap-gap window if your H-1B is selected
If your H-1B visa registration is selected, your STEM OPT authorization automatically extends through September 30 of the fiscal year under cap-gap rules. Stay in the same Python Developer role during this window to avoid any status gap.
Frequently Asked Questions
Does a Python Developer role qualify for the STEM OPT extension?
Python Developer positions generally qualify if the role is rooted in a STEM discipline such as software engineering, data science, or computer science, and your degree carries an approved STEM CIP code. The position must provide practical training directly related to your degree field. Your DSO reviews the I-983 training plan to confirm the connection between the role and your academic background.
Which STEM degrees make Python Developer jobs eligible for the 24-month extension?
Degrees in computer science, computer engineering, information systems, applied mathematics, and statistics are common qualifying programs. The degree title alone isn't enough; the CIP code assigned to your program must appear on the USCIS STEM Designated Degree Program List. Check with your DSO to confirm your specific program code before your initial OPT period ends.
How do I know if a Python Developer employer is enrolled in E-Verify?
E-Verify enrollment is a legal requirement for any employer who hires STEM OPT students. You can search employer enrollment status directly through the E-Verify website using the company's legal name. Asking the recruiter or HR contact to confirm enrollment in writing before you accept an offer is also standard practice and protects you if a dispute arises later.
What goes into the I-983 training plan for a Python Developer position?
The I-983 requires your employer to describe the technical skills you'll develop, how those skills connect to your STEM degree, supervision arrangements, and how your performance will be evaluated. For Python Developer roles, this typically covers areas like software architecture, data pipeline design, or API development. Your employer signs the form, and your DSO must approve it before the STEM extension is authorized.
Where can I find Python Developer jobs that accept STEM OPT students?
Migrate Mate lists Python Developer roles filtered for employers enrolled in E-Verify and familiar with STEM OPT hiring requirements. Searching there saves time compared to applying broadly and discovering late in the process that a company can't support your work authorization. Focus on roles where the job description maps clearly to your degree field to strengthen your I-983 training plan.