TN Visa Application Security Engineer Jobs
Application Security Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category when your duties center on identifying vulnerabilities, designing secure systems, and conducting threat analysis. Canadian citizens can apply at the border or a U.S. consulate without a lottery. Mexican citizens require a consulate appointment.
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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 Application Security Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Application Security Engineer Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an Application Security Engineer
Frame your credentials around systems analysis
TN visa approval for this role depends on fitting the Computer Systems Analyst category. Your resume and supporting letter should emphasize security architecture, threat modeling, and systems-level analysis rather than general IT support or network administration duties.
Request a detailed employer support letter
Ask your hiring manager to specify that your role requires analyzing and designing secure computer systems, not just executing security scans. A vague job description is the most common reason CBP officers push back on Application Security Engineer TN petitions.
Target employers experienced with visa sponsorship
Use Migrate Mate to filter Application Security Engineer roles by employers with recent visa filings. Employers experienced with visa sponsorship typically have legal teams familiar with work visa classifications and can move quickly through the TN sponsorship process at the port of entry or consulate.
Prepare your degree documentation before any interview
Your bachelor's degree in computer science, information security, or a related field must be ready to present at the port of entry. Canadian citizens traveling by land should carry certified transcripts, not just a diploma, since CBP can request verification on the spot.
Negotiate TN filing timing into your offer letter
Mexican citizens face a consulate appointment backlog that can extend several weeks. Build this into your start date negotiation so your employer understands the timeline before signing. A firm start date that assumes same-week processing creates problems for both sides.
Clarify your role scope if switching from a contractor position
If you are moving from a consulting arrangement to a full-time Application Security Engineer role, ensure the new offer letter clearly describes your duties as a direct employee. Third-party placement language in TN support letters draws additional scrutiny from CBP officers.
Application Security Engineer TN Visa: Frequently Asked Questions
Does an Application Security Engineer role qualify for a TN visa?
Yes, provided your duties align with the Computer Systems Analyst category under USMCA. Roles focused on threat modeling, vulnerability assessment, secure software design, and security architecture typically qualify. Roles that are primarily network operations, help desk, or general IT administration are less likely to meet the specialty occupation criteria CBP applies when reviewing TN petitions.
How does TN compare to H-1B for Application Security Engineer roles?
TN has no annual lottery, no cap for Canadian citizens, and can be approved at the port of entry the same day for Canadians. H-1B visa requires employer sponsorship months in advance, entry into a randomized lottery, and USCIS petition processing. For qualified Canadian and Mexican professionals, TN is a faster and more predictable path to working as an Application Security Engineer in the United States.
Where can I find Application Security Engineer jobs that include TN visa sponsorship?
Migrate Mate lists Application Security Engineer roles specifically filtered for TN visa sponsorship, so you are not sorting through postings from employers unfamiliar with the USMCA process. Searching there lets you focus on companies that have already confirmed willingness to provide the employer support letter and documentation required for a TN application.
Can I apply for a TN visa as an Application Security Engineer if my degree is in a field other than computer science?
Degrees in information systems, software engineering, mathematics, or electrical engineering can support a TN application for this role if your coursework is substantially technical and your job duties map clearly to computer systems analysis. CBP officers evaluate the connection between your degree field and your actual responsibilities, so a strong employer support letter explaining that connection is essential.
What happens to my TN status if my employer switches security platforms or restructures my team?
A material change in your job duties, title, or employer entity can trigger the need for a new TN petition. If your core responsibilities as an Application Security Engineer remain the same, a platform switch alone does not require refiling. However, if your role shifts significantly toward network operations or management duties, you should consult an immigration attorney before the change takes effect.