TN Visa Product Security Engineer Jobs
Product Security Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, provided your work centers on security architecture, vulnerability assessment, or application security rather than general IT support. Canadian citizens can apply at the border; Mexican citizens enter through a U.S. consulate. No lottery, no annual cap for Canadians.
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State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Lead AI Security Automation Engineer to shape the next generation of cybersecurity data, analytics, and AI-powered platforms. Partnering closely with Global Cyber Security teams, Infrastructure Teams, and Enterprise Continuity Services, this team develops advanced data platforms, intelligent automation solutions, and engineering capabilities that enable cybersecurity teams to make faster, AI-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats.
Why this role is important to us
Through innovation in AI, analytics, and automation, CyberDNA team plays a critical role in protecting State Street, its clients, and its partners from increasingly sophisticated global threat actors. As cybersecurity operations increasingly rely on AI, automation, and data-driven decision-making, this role will lead the development of the foundational platforms and capabilities that enable intelligent security operations at enterprise scale. This role sits at the intersection of Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the enterprise for supporting Cyber Security functions. The successful candidate will establish and lead a team of AI engineers focused on delivering next-generation AI platforms, autonomous agents, security automation solutions, and data-driven applications that strengthen cyber resilience, accelerate innovation, and transform cybersecurity operations through intelligent automation.
What you will be responsible for
As the Lead AI Security Automation Engineer, you will
- Build, lead, and mentor a high-performing team of AI Automation Engineers focused on advancing cybersecurity operations through automation and AI-driven innovation.
- Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows.
- Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
- Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management.
- Engineer cloud-native AI solutions in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores.
- Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
- Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes.
- Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior.
- Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
- Mentor senior & junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
What we value
These skills will help you succeed in this role
- Demonstrated experience architecting, developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions, including agentic workflows, intelligent agents, and enterprise tool integration frameworks.
- Strong software engineering fundamentals with expertise in designing and delivering cloud-native applications and services leveraging containers, serverless architectures, and modern public cloud platforms.
- Proven experience building highly scalable distributed systems utilizing asynchronous processing, event-driven architectures, durable messaging, and high-performance data access patterns.
- Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management.
- Experience implementing AI evaluation, testing, monitoring, and observability frameworks to measure model quality, reliability, performance, and safe operation in production environments.
- Strong API design and integration experience, including the development of secure, reusable, and scalable platform services that enable enterprise-wide adoption of AI capabilities.
- Demonstrated technical leadership skills with a track record of mentoring engineers, driving architectural decisions, influencing technology strategy, and collaborating effectively with cross-functional stakeholders.
- Hands-on experience utilizing enterprise-approved AI-assisted software development tools to accelerate application delivery, improve code quality, streamline testing, and enhance documentation, while ensuring outputs are validated through secure coding practices, peer review, and automated testing.
- Strong understanding of responsible AI principles, including data privacy, security, governance, resiliency, and risk management, with the ability to guide teams in the safe and effective use of AI technologies.
- Deep understanding of cybersecurity functions to support threat detection engineering, threat hunting, offensive/defensive security, Threat intelligence and SOC operations.
- Strong understanding of cybersecurity operations, including threat detection, incident response, threat hunting, security analytics, and security automation.
- Proven ability to lead and influence geographically distributed teams through virtual collaboration, fostering strong partnerships, driving technical outcomes, and building effective relationships across engineering, security, and business organizations.
- Deep understanding of CI/CD tools (Jenkins, Harness, Spinnaker, Argo CD, etc.) and methodology, production experience in designing and implementing CI/CD pipelines with a focus on helping teams release frequently to production while maintaining deployment reliability.
- Strong software development and automation skills with demonstrated experience in Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell.
- Proven ability to lead complex technical initiatives while remaining deeply hands-on.
- LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.
- Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow.
- Experience with vector databases, semantic search, and enterprise RAG platforms.
- Experience implementing MLOps, LLMOps, AI observability, and evaluation frameworks.
- Knowledge of Responsible AI, data governance, and model risk management.
Education & Preferred Qualifications
- Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline.
- 10+ years of professional software engineering experience.
- 4+ years of experience developing AI, Machine Learning, or Generative AI solutions.
- Demonstrated success designing and deploying enterprise-scale applications and platforms.
- Experience developing cybersecurity, analytics, or operational intelligence solutions.
Work Requirement
Work shift is 8 AM – 5 PM local time with occasional Level 3 escalation resolution to support operational incidents. This hybrid role includes an in-office presence requirement of 2–4 days per week, consistent with the organization's hybrid work policy.
Salary Range:
$120,000 - $217,500 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.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Who we are looking for
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Lead AI Security Automation Engineer to shape the next generation of cybersecurity data, analytics, and AI-powered platforms. Partnering closely with Global Cyber Security teams, Infrastructure Teams, and Enterprise Continuity Services, this team develops advanced data platforms, intelligent automation solutions, and engineering capabilities that enable cybersecurity teams to make faster, AI-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats.
Why this role is important to us
Through innovation in AI, analytics, and automation, CyberDNA team plays a critical role in protecting State Street, its clients, and its partners from increasingly sophisticated global threat actors. As cybersecurity operations increasingly rely on AI, automation, and data-driven decision-making, this role will lead the development of the foundational platforms and capabilities that enable intelligent security operations at enterprise scale. This role sits at the intersection of Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the enterprise for supporting Cyber Security functions. The successful candidate will establish and lead a team of AI engineers focused on delivering next-generation AI platforms, autonomous agents, security automation solutions, and data-driven applications that strengthen cyber resilience, accelerate innovation, and transform cybersecurity operations through intelligent automation.
What you will be responsible for
As the Lead AI Security Automation Engineer, you will
- Build, lead, and mentor a high-performing team of AI Automation Engineers focused on advancing cybersecurity operations through automation and AI-driven innovation.
- Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows.
- Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
- Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management.
- Engineer cloud-native AI solutions in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores.
- Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
- Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes.
- Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior.
- Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
- Mentor senior & junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
What we value
These skills will help you succeed in this role
- Demonstrated experience architecting, developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions, including agentic workflows, intelligent agents, and enterprise tool integration frameworks.
- Strong software engineering fundamentals with expertise in designing and delivering cloud-native applications and services leveraging containers, serverless architectures, and modern public cloud platforms.
- Proven experience building highly scalable distributed systems utilizing asynchronous processing, event-driven architectures, durable messaging, and high-performance data access patterns.
- Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management.
- Experience implementing AI evaluation, testing, monitoring, and observability frameworks to measure model quality, reliability, performance, and safe operation in production environments.
- Strong API design and integration experience, including the development of secure, reusable, and scalable platform services that enable enterprise-wide adoption of AI capabilities.
- Demonstrated technical leadership skills with a track record of mentoring engineers, driving architectural decisions, influencing technology strategy, and collaborating effectively with cross-functional stakeholders.
- Hands-on experience utilizing enterprise-approved AI-assisted software development tools to accelerate application delivery, improve code quality, streamline testing, and enhance documentation, while ensuring outputs are validated through secure coding practices, peer review, and automated testing.
- Strong understanding of responsible AI principles, including data privacy, security, governance, resiliency, and risk management, with the ability to guide teams in the safe and effective use of AI technologies.
- Deep understanding of cybersecurity functions to support threat detection engineering, threat hunting, offensive/defensive security, Threat intelligence and SOC operations.
- Strong understanding of cybersecurity operations, including threat detection, incident response, threat hunting, security analytics, and security automation.
- Proven ability to lead and influence geographically distributed teams through virtual collaboration, fostering strong partnerships, driving technical outcomes, and building effective relationships across engineering, security, and business organizations.
- Deep understanding of CI/CD tools (Jenkins, Harness, Spinnaker, Argo CD, etc.) and methodology, production experience in designing and implementing CI/CD pipelines with a focus on helping teams release frequently to production while maintaining deployment reliability.
- Strong software development and automation skills with demonstrated experience in Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell.
- Proven ability to lead complex technical initiatives while remaining deeply hands-on.
- LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.
- Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow.
- Experience with vector databases, semantic search, and enterprise RAG platforms.
- Experience implementing MLOps, LLMOps, AI observability, and evaluation frameworks.
- Knowledge of Responsible AI, data governance, and model risk management.
Education & Preferred Qualifications
- Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline.
- 10+ years of professional software engineering experience.
- 4+ years of experience developing AI, Machine Learning, or Generative AI solutions.
- Demonstrated success designing and deploying enterprise-scale applications and platforms.
- Experience developing cybersecurity, analytics, or operational intelligence solutions.
Work Requirement
Work shift is 8 AM – 5 PM local time with occasional Level 3 escalation resolution to support operational incidents. This hybrid role includes an in-office presence requirement of 2–4 days per week, consistent with the organization's hybrid work policy.
Salary Range:
$120,000 - $217,500 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.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See all TN Visa Product Security Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Product Security Engineer Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Product Security Engineer
Frame your credentials around Computer Systems Analyst
TN visa approval for Product Security Engineer roles hinges on mapping your degree and duties to the Computer Systems Analyst category. A cybersecurity or computer science degree strengthens your case; a general IT certificate alone typically won't satisfy CBP.
Target employers with dedicated security teams
Companies with internal red teams, bug bounty programs, or SOC operations are experienced with visa sponsorship and understand the work visa process. Startups hiring their first security role often lack familiarity with sponsoring international talent and the documentation required.
Request a detailed offer letter before filing
Your offer letter must specify that the role involves security architecture, threat modeling, or vulnerability management, not just 'engineering.' CBP officers review job duties line by line, and vague titles like 'engineer' without security-specific language create unnecessary delays at the port of entry.
Search for TN-ready roles using Migrate Mate
Filtering job postings by TN visa eligibility saves weeks of outreach to employers unfamiliar with the category. Migrate Mate surfaces Product Security Engineer roles where employers have indicated willingness to support TN sponsorship, so you spend time on viable opportunities.
Prepare for CBP questions about third-party client work
If your role involves consulting or embedding with client teams, CBP may scrutinize whether you have an employer-employee relationship. Bring documentation showing your primary employer controls your schedule, sets your deliverables, and pays your salary directly.
Verify your employer's E-Verify enrollment before you start
E-Verify enrollment isn't required for TN sponsorship, but Mexican TN holders should confirm their employer can complete I-9 verification correctly. Errors in I-9 processing can complicate your work authorization records even when your TN status is valid.
Product Security Engineer TN Visa: Frequently Asked Questions
Does a Product Security Engineer role qualify for TN visa status?
Yes, provided your job duties align with the Computer Systems Analyst category under USMCA. CBP expects roles involving security architecture, penetration testing, vulnerability assessment, or application security design. Roles that are primarily IT operations or help desk support don't qualify, even if the title includes 'security.' Your offer letter and degree must both support the specialty occupation claim.
How does TN visa sponsorship compare to H-1B for Product Security Engineer roles?
TN has no annual lottery and no cap for Canadian citizens, so you can start work as soon as CBP approves your application at the port of entry, often the same day. H-1B visa requires winning a lottery with roughly a 25% selection rate, then waiting until October 1 to start. Mexican TN holders face a 5,400 annual allocation, but processing still moves faster than H-1B. For security engineers with a qualifying degree and job offer, TN is a faster and more predictable path.
What documents do I need to bring to the border as a Canadian applying for TN status?
You'll need a valid Canadian passport, a signed offer letter from your U.S. employer detailing your Product Security Engineer duties, evidence of your qualifying degree, and the filing fee. CBP processes Canadian TN applications at the port of entry without a prior visa appointment. Bring degree transcripts if your field of study isn't obvious from the diploma alone, since cybersecurity programs vary widely in how they're named.
Where can I find Product Security Engineer jobs that offer TN visa sponsorship?
Most general job boards don't filter by TN visa eligibility, which means you spend significant time on roles where the employer isn't prepared to sponsor. Migrate Mate is built specifically for Canadian and Mexican professionals seeking TN sponsorship, and lets you search Product Security Engineer openings by visa readiness. That targeting cuts out the manual screening process that makes TN job searches time-consuming.
Can I switch employers while on TN status as a Product Security Engineer?
Yes, but your TN authorization is tied to your current employer. When you accept a new offer, your new employer must file a fresh TN petition before your first day. Canadian citizens can handle this at the border; Mexican citizens need a new visa stamp at a U.S. consulate. You don't carry your existing TN to a new employer the way H-1B portability works under AC21.