TN Visa AI Developer Jobs
AI Developer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, covering machine learning engineers, NLP specialists, and AI research roles. Canadian citizens can enter the U.S. the same day their TN is approved at the port of entry. Mexican citizens follow a consular appointment process with a defined annual allocation.
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At Apple, we don't just build products - we craft experiences that redefine entire ecosystems. The Developer Experience team delivers the essential tools and systems that empower hundreds of engineering teams across Apple to build and deploy services with speed, efficiency, and confidence.
We're transforming how developers work by weaving intelligent AI capabilities directly into their workflows. We're looking for a technical leader who can build and lead the team making this vision real - someone who lives at the intersection of AI agent development, developer productivity measurement, and engineering excellence.
Description
The Developer Experience team is seeking an Engineering Manager to lead a team building the next generation of AI-powered developer tooling that hundreds of Apple engineering teams rely on daily. You'll hire, develop, and lead engineers who design and ship intelligent agents that transform the software development lifecycle - from initial development through testing, deployment, and beyond.
You'll set the technical direction for a portfolio of AI-powered products: coding agents, root cause analysis agents, deployment agents, code review agents, MCP servers, Slack integrations, CLI tools, and APIs that serve both human developers and autonomous systems. Your team will build production-grade AI capabilities, measure their impact through DORA and SPACE metrics, and iterate based on direct user research with engineering teams across Apple.
You'll set CI/CD policies and standards that balance velocity with safety, working with cross-functional partners to establish guardrails for AI-assisted deployments at scale. Your team's work will make AI capabilities a seamless, integrated part of how developers build services at Apple.
This role requires both hands-on technical depth in agentic AI systems and proven leadership in building high-performing engineering teams. You'll partner with project managers, peer engineering leaders, and senior stakeholders to align your team's roadmap with organizational priorities while maintaining the autonomy to make bold technical bets.
Responsibilities
-
Build, lead, and develop a team of engineers who ship AI-powered developer tools - planning agents, coding agents, testing agents, deployment agents, operations agents, and the APIs and integrations that hundreds of engineering teams depend on daily.
-
Define and track DORA metrics (deployment frequency, lead time, change failure rate, MTTR) and SPACE metrics (satisfaction, performance, activity, communication, efficiency) to measure and improve developer productivity across Apple.
-
Set CI/CD policies and standards for AI-assisted development workflows, balancing deployment velocity with safety and compliance requirements.
-
Drive technical strategy for scalable backend services and APIs in Java and Python that support developer efficiency workflows across Apple.
-
Conduct user research with engineering teams to identify pain points, validate solutions, and prioritize the roadmap based on measured developer impact.
-
Evolve platform architectures for reliability, maintainability, and performance at scale, making build-vs-buy decisions and managing technical debt.
-
Establish engineering excellence standards - code review practices, testing strategies, operational readiness - and foster a culture of quality and continuous improvement.
-
Recruit, mentor, and retain top engineering talent with expertise in AI agent development and developer tooling.
Minimum Qualifications
1+ years of engineering management experience leading teams building backend systems or developer tools.
5+ years of hands-on software engineering experience, with strong fundamentals in Java and Python.
Deep familiarity with AI agent frameworks and patterns - LangChain, Claude Agent SDK, Pydantic AI, or equivalent - with the ability to evaluate architectural tradeoffs and guide implementation decisions.
Experience defining and using developer productivity metrics (DORA, SPACE, or similar frameworks) to drive measurable improvements.
Track record of setting CI/CD policies and infrastructure automation standards for engineering organizations.
Experience with databases (relational and/or NoSQL) and scalable service architectures.
Excellent communication skills with the ability to influence across organizational boundaries.
BS, MS, or PhD in Computer Science/Engineering or equivalent experience.
Preferred Qualifications
-
Passion for developer experience and empathy for building tools that empower other engineers.
-
Experience with LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.
-
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., LangChain, Hugging Face, Anthropic SDK).
-
Experience with Kubernetes for container orchestration and deployment at scale.
-
Experience with messaging systems (e.g., Kafka) and microservices architectures.
-
Track record of building teams from scratch or through significant growth phases.
-
Experience partnering with product management to define tooling strategy and prioritize competing demands across multiple stakeholder teams.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we don't just build products - we craft experiences that redefine entire ecosystems. The Developer Experience team delivers the essential tools and systems that empower hundreds of engineering teams across Apple to build and deploy services with speed, efficiency, and confidence.
We're transforming how developers work by weaving intelligent AI capabilities directly into their workflows. We're looking for a technical leader who can build and lead the team making this vision real - someone who lives at the intersection of AI agent development, developer productivity measurement, and engineering excellence.
Description
The Developer Experience team is seeking an Engineering Manager to lead a team building the next generation of AI-powered developer tooling that hundreds of Apple engineering teams rely on daily. You'll hire, develop, and lead engineers who design and ship intelligent agents that transform the software development lifecycle - from initial development through testing, deployment, and beyond.
You'll set the technical direction for a portfolio of AI-powered products: coding agents, root cause analysis agents, deployment agents, code review agents, MCP servers, Slack integrations, CLI tools, and APIs that serve both human developers and autonomous systems. Your team will build production-grade AI capabilities, measure their impact through DORA and SPACE metrics, and iterate based on direct user research with engineering teams across Apple.
You'll set CI/CD policies and standards that balance velocity with safety, working with cross-functional partners to establish guardrails for AI-assisted deployments at scale. Your team's work will make AI capabilities a seamless, integrated part of how developers build services at Apple.
This role requires both hands-on technical depth in agentic AI systems and proven leadership in building high-performing engineering teams. You'll partner with project managers, peer engineering leaders, and senior stakeholders to align your team's roadmap with organizational priorities while maintaining the autonomy to make bold technical bets.
Responsibilities
-
Build, lead, and develop a team of engineers who ship AI-powered developer tools - planning agents, coding agents, testing agents, deployment agents, operations agents, and the APIs and integrations that hundreds of engineering teams depend on daily.
-
Define and track DORA metrics (deployment frequency, lead time, change failure rate, MTTR) and SPACE metrics (satisfaction, performance, activity, communication, efficiency) to measure and improve developer productivity across Apple.
-
Set CI/CD policies and standards for AI-assisted development workflows, balancing deployment velocity with safety and compliance requirements.
-
Drive technical strategy for scalable backend services and APIs in Java and Python that support developer efficiency workflows across Apple.
-
Conduct user research with engineering teams to identify pain points, validate solutions, and prioritize the roadmap based on measured developer impact.
-
Evolve platform architectures for reliability, maintainability, and performance at scale, making build-vs-buy decisions and managing technical debt.
-
Establish engineering excellence standards - code review practices, testing strategies, operational readiness - and foster a culture of quality and continuous improvement.
-
Recruit, mentor, and retain top engineering talent with expertise in AI agent development and developer tooling.
Minimum Qualifications
1+ years of engineering management experience leading teams building backend systems or developer tools.
5+ years of hands-on software engineering experience, with strong fundamentals in Java and Python.
Deep familiarity with AI agent frameworks and patterns - LangChain, Claude Agent SDK, Pydantic AI, or equivalent - with the ability to evaluate architectural tradeoffs and guide implementation decisions.
Experience defining and using developer productivity metrics (DORA, SPACE, or similar frameworks) to drive measurable improvements.
Track record of setting CI/CD policies and infrastructure automation standards for engineering organizations.
Experience with databases (relational and/or NoSQL) and scalable service architectures.
Excellent communication skills with the ability to influence across organizational boundaries.
BS, MS, or PhD in Computer Science/Engineering or equivalent experience.
Preferred Qualifications
-
Passion for developer experience and empathy for building tools that empower other engineers.
-
Experience with LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.
-
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., LangChain, Hugging Face, Anthropic SDK).
-
Experience with Kubernetes for container orchestration and deployment at scale.
-
Experience with messaging systems (e.g., Kafka) and microservices architectures.
-
Track record of building teams from scratch or through significant growth phases.
-
Experience partnering with product management to define tooling strategy and prioritize competing demands across multiple stakeholder teams.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 147+ AI Developer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Developer roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI Developer
Align your credentials to the category
TN approval for AI Developer roles depends on fitting the Computer Systems Analyst classification. Your degree or experience must map directly to systems analysis, not just coding. A bachelor's in computer science, software engineering, or a closely related field satisfies CBP officers most cleanly.
Target employers with recent visa filings
Before applying, verify a company has experience with visa sponsorship through recent filings for computer systems analyst or related roles. Employers unfamiliar with work visa processes often stall offers. Focusing on organizations with a track record of sponsoring work visas cuts the risk of a last-minute sponsorship refusal.
Prepare a role-specific support letter early
Your employer's TN support letter must explain why your AI Developer duties qualify as computer systems analysis under USMCA. Vague job descriptions are the most common CBP rejection trigger. Request a draft before your start date so you can flag scope gaps without rushing.
Search TN-specific job listings through Migrate Mate
Generic job boards don't filter for TN visa sponsorship or USMCA-eligible roles. Migrate Mate surfaces AI Developer positions where employers have confirmed TN sponsorship, saving you from applying to roles that will stall at the offer stage.
Clarify Canadian versus Mexican processing timelines
Canadian citizens can complete TN approval at the U.S. port of entry on the day they travel. Mexican citizens must schedule a consular interview, which adds weeks to the timeline. Confirm with your employer which process applies and build that buffer into your start date negotiation.
Request indefinite renewals in your offer terms
Each TN approval covers up to three years, with no statutory cap on renewals. Negotiate renewal commitment language into your employment agreement before signing. Employers unfamiliar with TN often assume a fixed visa window and build unnecessary urgency into contract terms.
AI Developer jobs are hiring across the US. Find yours.
Find AI Developer JobsAI Developer TN Visa: Frequently Asked Questions
Does an AI Developer role qualify for TN visa sponsorship?
Most AI Developer roles qualify under the Computer Systems Analyst category in the USMCA TN schedule. CBP officers evaluate whether your actual duties involve analyzing, designing, or implementing computer systems. Titles like machine learning engineer, NLP engineer, or AI research scientist typically fit, provided your employer's support letter maps the role's responsibilities to that classification.
How does TN compare to H-1B for AI Developer roles?
TN has no lottery and no annual cap for Canadian citizens, so you can start as soon as CBP approves your application at the port of entry. H-1B requires surviving a random lottery, waiting until October 1, and dealing with months of USCIS processing. For AI Developer roles that fit the Computer Systems Analyst category, TN is a faster, more predictable path than H-1B for eligible nationals.
Where can I find AI Developer jobs with confirmed TN visa sponsorship?
Migrate Mate lists AI Developer roles where employers have confirmed TN visa sponsorship, so you're not wasting applications on companies that will stall at the offer stage. Filtering by TN eligibility up front is the most efficient way for Canadian and Mexican professionals to identify viable opportunities without starting the sponsorship conversation from scratch with every recruiter.
Can a Mexican citizen get TN sponsorship for an AI Developer job?
Yes, but Mexican TN applicants follow a different process than Canadians. You must apply at a U.S. consulate in Mexico rather than at the port of entry, and Mexico's TN allocation is limited under USMCA. Schedule your consular appointment as early as possible and confirm with your employer that the start date accounts for consular processing time, which can run several weeks.
What happens to my TN status if my AI Developer role changes significantly?
TN status is tied to the specific role and employer approved in your original filing. If your duties shift materially, such as moving from applied AI engineering to pure research or into a management track, your employer should file an amended TN or seek a new approval before the role change takes effect. CBP can scrutinize renewals where the position description no longer matches the original letter.
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