STEM OPT AI Developer Jobs
AI Developer roles in machine learning, natural language processing, and computer vision fall squarely within STEM OPT eligibility for graduates with degrees in computer science, data science, or related STEM fields. Your 24-month extension gives you up to 36 months total to build U.S. experience, provided your employer is enrolled in E-Verify.
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Who we are looking for
The AI Engineer will play a key role in advancing AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Platform. This individual will design, build, and scale production-grade AI systems, including copilots, agentic workflows, and automation services embedded directly into investment management processes.
To be successful, the candidate must be a hands-on engineer with strong experience in LLMs, AI orchestration, and distributed systems, capable of translating emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable enterprise solutions. This role requires close collaboration with product owners, architects, and domain teams to operationalize AI across client-facing and internal workflows.
Why this role is important to us
- Enables Scalable AI Adoption: Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentation
- Drives Business Impact: Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for clients
- Bridges Innovation and Production: Converts emerging AI technologies into secure, governed, production-ready capabilities
- Accelerates Time-to-Market: Enables faster delivery of high-value AI use cases through standard architecture and tooling
What you will be responsible for
- Design, develop, and deploy AI-powered services, including copilots, agent-based workflows, and automation tools
- Build and integrate LLM-based solutions using orchestration frameworks and tool-calling patterns
- Implement RAG pipelines using enterprise data sources and vector databases
- Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling
- Embed AI capabilities into core CRD and Alpha workflows across front, middle, and back-office processes
- Build reusable AI enablement platforms, SDKs, and shared services for product teams
- Integrate AI services with cloud platforms and enterprise systems
- Expose AI capabilities through API Management layers and event-driven architectures
- Ensure performance, scalability, and reliability of AI systems in production environments
- Implement monitoring, evaluation, and observability for AI models and pipelines
- Apply responsible AI practices (security, explainability, compliance, governance)
- Collaborate with product, architecture, data science, and UX teams to deliver end-to-end solutions
- Participate in agile development processes including sprint planning, code reviews, and retrospectives
What we value
- Strong expertise in LLMs, prompt engineering, and AI system design
- Experience building AI copilots, conversational interfaces, or agent-based systems
- Hands-on experience with RAG architectures, embeddings, and vector databases
- Familiarity with MCP frameworks, tool-calling patterns, and agent orchestration
- Experience with cloud-native AI services (Azure preferred) and distributed architectures
- Proficiency in Python and at least one additional language (Java, C#, or TypeScript)
- Experience with API-driven architectures, microservices, and event streaming (Kafka, Event Hub)
- Knowledge of distributed caching (Redis, Hazelcast) and performance optimization patterns
- Strong software engineering fundamentals: testing, CI/CD, code quality, and design patterns
- Familiarity with AI governance, model risk management, and security best practices
- Ability to work across strategic and hands-on engineering tasks
- Strong collaboration and communication skills in cross-functional environments
Education & Preferred Qualifications
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field
- 2–5+ years of software engineering experience, with a focus on building scalable systems
- Experience delivering AI/ML-powered applications into production
- Strong understanding of modern AI architectures (LLMs, RAG, APIs, orchestration layers)
- Experience working with cloud platforms (Azure, AWS, or GCP)
- Preferred:
- Experience in investment management, trading systems, or financial data platforms
- Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns
- Experience working within Agile/Scrum teams following modern SDLC practices, including secure coding standards, CI/CD
About CRD
Charles River Development (CRD) is the FinTech division of State Street. Together with State Street’s middle- and back-office services, Charles River’s cloud-based front-office technology forms the foundation of the State Street Alpha® Platform - the first front-to-back solution in the industry.
Our vision is to be the world’s leading investment platform, driving innovation, resiliency, and growth for investment firms globally. CRD Engineering is transforming the platform into a modern, cloud-native ecosystem leveraging Microsoft Azure, Kafka, Snowflake, and advanced AI technologies.
As part of this transformation, AI Enablement is a strategic priority - bringing together data, engineering, and intelligent automation to redefine investment workflows and deliver measurable client value.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You’ll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Salary Range:
$52,000 - $91,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
AI Developer
Who we are looking for
The AI Engineer will play a key role in advancing AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Platform. This individual will design, build, and scale production-grade AI systems, including copilots, agentic workflows, and automation services embedded directly into investment management processes.
To be successful, the candidate must be a hands-on engineer with strong experience in LLMs, AI orchestration, and distributed systems, capable of translating emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable enterprise solutions. This role requires close collaboration with product owners, architects, and domain teams to operationalize AI across client-facing and internal workflows.
Why this role is important to us
- Enables Scalable AI Adoption: Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentation
- Drives Business Impact: Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for clients
- Bridges Innovation and Production: Converts emerging AI technologies into secure, governed, production-ready capabilities
- Accelerates Time-to-Market: Enables faster delivery of high-value AI use cases through standard architecture and tooling
What you will be responsible for
- Design, develop, and deploy AI-powered services, including copilots, agent-based workflows, and automation tools
- Build and integrate LLM-based solutions using orchestration frameworks and tool-calling patterns
- Implement RAG pipelines using enterprise data sources and vector databases
- Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling
- Embed AI capabilities into core CRD and Alpha workflows across front, middle, and back-office processes
- Build reusable AI enablement platforms, SDKs, and shared services for product teams
- Integrate AI services with cloud platforms and enterprise systems
- Expose AI capabilities through API Management layers and event-driven architectures
- Ensure performance, scalability, and reliability of AI systems in production environments
- Implement monitoring, evaluation, and observability for AI models and pipelines
- Apply responsible AI practices (security, explainability, compliance, governance)
- Collaborate with product, architecture, data science, and UX teams to deliver end-to-end solutions
- Participate in agile development processes including sprint planning, code reviews, and retrospectives
What we value
- Strong expertise in LLMs, prompt engineering, and AI system design
- Experience building AI copilots, conversational interfaces, or agent-based systems
- Hands-on experience with RAG architectures, embeddings, and vector databases
- Familiarity with MCP frameworks, tool-calling patterns, and agent orchestration
- Experience with cloud-native AI services (Azure preferred) and distributed architectures
- Proficiency in Python and at least one additional language (Java, C#, or TypeScript)
- Experience with API-driven architectures, microservices, and event streaming (Kafka, Event Hub)
- Knowledge of distributed caching (Redis, Hazelcast) and performance optimization patterns
- Strong software engineering fundamentals: testing, CI/CD, code quality, and design patterns
- Familiarity with AI governance, model risk management, and security best practices
- Ability to work across strategic and hands-on engineering tasks
- Strong collaboration and communication skills in cross-functional environments
Education & Preferred Qualifications
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field
- 2–5+ years of software engineering experience, with a focus on building scalable systems
- Experience delivering AI/ML-powered applications into production
- Strong understanding of modern AI architectures (LLMs, RAG, APIs, orchestration layers)
- Experience working with cloud platforms (Azure, AWS, or GCP)
- Preferred:
- Experience in investment management, trading systems, or financial data platforms
- Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns
- Experience working within Agile/Scrum teams following modern SDLC practices, including secure coding standards, CI/CD
About CRD
Charles River Development (CRD) is the FinTech division of State Street. Together with State Street’s middle- and back-office services, Charles River’s cloud-based front-office technology forms the foundation of the State Street Alpha® Platform - the first front-to-back solution in the industry.
Our vision is to be the world’s leading investment platform, driving innovation, resiliency, and growth for investment firms globally. CRD Engineering is transforming the platform into a modern, cloud-native ecosystem leveraging Microsoft Azure, Kafka, Snowflake, and advanced AI technologies.
As part of this transformation, AI Enablement is a strategic priority - bringing together data, engineering, and intelligent automation to redefine investment workflows and deliver measurable client value.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You’ll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Salary Range:
$52,000 - $91,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
See all 33+ STEM OPT AI Developer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Developer
Verify your CIP code before applying
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code. Check your I-20 to confirm it maps to a STEM-designated field like computer science (11.0701) or data science (30.7001) before your DSO files the extension.
Confirm E-Verify enrollment before accepting offers
Before signing anything, ask your recruiter for the company's E-Verify Employer ID or look them up in the E-Verify employer search. An AI role at a company not enrolled in E-Verify disqualifies you from the 24-month STEM OPT extension entirely.
Target AI teams at E-Verify enrolled employers on Migrate Mate
Search AI Developer roles on Migrate Mate, which filters for employers with verified E-Verify enrollment and STEM OPT hiring history. This saves you from applying to roles where the employer can't legally support your extension.
Build a portfolio that speaks to LLM and production AI work
Hiring managers for AI Developer roles screen for applied experience, not just coursework. Projects involving fine-tuning large language models, deploying ML pipelines, or building retrieval-augmented generation systems directly address what STEM-heavy employers are evaluating during technical interviews.
File your I-983 training plan within the first five days
USCIS requires your employer to sign a Form I-983 establishing the formal training relationship. Get this completed at offer acceptance, not after your start date. Your DSO needs it before recommending the STEM OPT extension, and delays can create a gap in your work authorization.
Use the OFLC Wage Search to benchmark your offer against prevailing wages
AI Developer roles span multiple Standard Occupational Classification codes, including 15-2051 for data scientists and 15-1252 for software developers. Check the OFLC Wage Search by SOC code and your work location to verify your offer meets the DOL prevailing wage level before you negotiate.
Frequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an AI Developer?
Your degree qualifies if it carries a STEM-designated CIP code. Computer science, electrical engineering, data science, applied mathematics, and statistics degrees typically qualify. Check your I-20 for the CIP code and cross-reference it against the DHS STEM Designated Degree Program List. Your DSO can confirm eligibility before you apply for the extension.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be enrolled in E-Verify at the specific worksite where you'll be working, not just at company headquarters. This is a hard USCIS requirement for STEM OPT extensions. Before accepting an offer, ask the recruiter or HR team to confirm E-Verify enrollment and provide the Employer ID. You can verify enrollment through the E-Verify employer search tool.
What goes into the I-983 training plan for an AI Developer role?
The Form I-983 must describe how your day-to-day AI work relates directly to your STEM degree. For an AI Developer, this typically includes learning goals tied to your degree field, specific technical competencies you'll develop such as model development or ML systems design, and how your employer will supervise and evaluate your progress. Both you and your employer must sign it.
How does cap-gap protection work if my employer files an H-1B petition while I'm on STEM OPT?
If your STEM OPT expires between April 1 and October 1 and your employer filed a timely H-1B visa petition on your behalf, cap-gap protection automatically extends your work authorization through September 30. You can continue working as an AI Developer during this period without interruption. USCIS issues cap-gap eligibility based on the I-797 receipt notice from the H-1B filing.
Where can I find AI Developer jobs that are confirmed STEM OPT compatible?
Migrate Mate lists AI Developer roles filtered for employers with E-Verify enrollment and documented STEM OPT hiring history. This lets you focus your applications on companies that already understand the extension requirements and have a track record of onboarding students in your situation, rather than educating employers about STEM OPT from scratch during the interview process.