TN Visa Director Of Security Jobs
Director of Security roles qualify for TN visa sponsorship under the USMCA's Management Consultant and Scientific Technician categories, though classification depends on how the employer defines the position. Canadian citizens can secure TN status at the border same-day. Mexican citizens need consular processing. Your degree in criminal justice, security management, or a related field is the qualifying credential.
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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 Director Of Security Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Director Of Security Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship in Director Of Security
Align your credentials to TN categories
Director of Security roles don't have a dedicated TN visa category, so your application depends on how your employer classifies the position. A security management or criminal justice degree paired with a clearly scoped job letter is what gets this through.
Request a specialty occupation letter early
Ask your prospective employer to document that the Director of Security role requires a bachelor's degree in a specific field. Vague job descriptions referencing general management experience without degree requirements are the most common reason TN applications stall at the border.
Target employers with existing TN hiring history
Focus your search on enterprise-level organizations in sectors such as financial services, healthcare systems, and critical infrastructure, where security leadership roles are consistently filled at the degree-required professional level rather than through general operational experience.
Use Migrate Mate to find sponsoring employers
Search Migrate Mate to identify companies actively hiring Director of Security professionals under TN sponsorship. The platform filters roles by visa type so you're not cold-applying to employers unfamiliar with TN classification requirements for security leadership positions.
Prepare for Mexican consular processing timelines
As a Mexican citizen, you'll apply at a U.S. consulate rather than at the border. Have your employer prepare a support letter before scheduling your appointment, and build at least three to four weeks into your start date timeline to account for consular processing.
Confirm your employer understands TN vs. USCIS filing
Canadian citizens don't require USCIS approval and can present TN documentation at a port of entry. Make sure your HR contact knows this distinction, since employers accustomed to H-1B visa processes sometimes mistakenly initiate an I-129 petition filing that isn't required for Canadians.
Director Of Security TN Visa: Frequently Asked Questions
Does the Director of Security role qualify for a TN visa?
The TN visa doesn't list Director of Security as a standalone category, so qualification depends on how the role is framed. If the position requires a bachelor's degree in criminal justice, security management, or a related discipline, it can qualify under categories such as Management Consultant or Scientific Technician depending on the employer's job definition and supporting documentation.
How does TN compare to H-1B for Director of Security positions?
The TN visa has no annual lottery, no cap for Canadian citizens, and can be granted at a port of entry the same day for Canadians. H-1B requires a lottery with roughly a one-in-four selection rate and takes months to process. For Director of Security roles where the specialty occupation argument is well-documented, TN is a faster and more predictable path than competing in the H-1B lottery.
Where can I find Director of Security jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Director of Security roles at employers who support TN visa sponsorship, so you're not sifting through postings from companies unfamiliar with the classification. Filtering by TN at the start of your search saves time and connects you with hiring managers who already understand the process.
What documents does a Canadian citizen need to present at the border for TN status in a Director of Security role?
You'll need a valid Canadian passport, a detailed support letter from your U.S. employer describing the role's duties, required degree, and TN category classification, your academic credentials confirming the qualifying degree, and the CBP Form I-94 fee. The employer letter is the most scrutinized document, so specificity about how the role meets TN professional criteria matters considerably.
Can a Mexican citizen in a Director of Security role renew TN status, and how often?
Yes. TN status is granted in three-year increments with no cap on renewals, meaning Mexican citizens can remain in TN status indefinitely as long as they maintain a qualifying job offer and the role continues to meet TN professional requirements. Renewals go through U.S. consular processing in Mexico, so building renewal timelines into your employment planning is practical.