TN Visa AI ML Platform Jobs
AI ML Platform roles qualify for TN visa sponsorship under the Engineer or Computer Systems Analyst category, depending on how your employer structures the position. Canadian citizens can apply at the border with no cap concerns. Mexican nationals follow a consular process. A bachelor's degree in computer science, engineering, or a related field is required.
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Austin, TX
Requisition ID 2026-121357
Category Technology
Position type Regular
Pay range USD $209,000.00 - $246,000.00 / Year
Application deadline 2026-05-01
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Data is advancing the next-generation roadmap for AI and data science platforms, enabling scalable, secure, and governed capabilities across multiple business domains. This includes expanding predictive analytics platforms and generative AI capabilities on Cloud, supporting use cases such as customer analytics, risk analytics, internal productivity, and operational decisioning.
As part of this evolution, we are scaling AI/ML platform and engineering capabilities on Cloud to support broader adoption. This includes standardizing platform architecture, enabling reusable development and deployment patterns, strengthening model lifecycle capabilities, and integrating platform services to support both predictive and generative AI workloads in a regulated environment.
We are seeking an Applied AI/ML Platform Services Principal to provide senior technical leadership across AI/ML platforms and engineering. This role will drive cross-platform architecture, define engineering standards, and enable scalable, production-grade AI capabilities. That role partners closely with platform engineering, AI/ML engineering, and data & enterprise architecture teams to align delivery, improve engineering maturity, and accelerate AI adoption.
Position Responsibilities:
AI/ML Platform Architecture & Strategy
- Define and drive the architecture for AI/ML platforms and services spanning predictive and generative AI domains
- Establish standardized, reusable platform patterns to support scalable, reliable, and governed AI workloads
- Lead integration strategies that connect AI/ML capabilities across the broader enterprise data ecosystem
AI/ML Engineering Standards & Enablement
- Define and implement AI/ML engineering best practices across development, deployment, and lifecycle management
- Enable consistent and effective use of platform capabilities for model development and evaluation
- Partner closely with engineering teams to improve platform reliability, scalability, and operational maturity
Cross-Functional Technical Leadership
- Serve as a senior technical authority across platform engineering, AI/ML engineering, and architecture teams
- Drive alignment on platform direction, priorities, and execution across multiple organizations
- Influence key technical decisions related to platform evolution and AI/ML engineering practices
Platform Adoption & Delivery Acceleration
- Enable onboarding and scaling of AI use cases through standardized platform capabilities
- Identify and remove technical or process bottlenecks impacting delivery velocity and scalability
- Support high-priority AI initiatives through hands-on technical leadership and guidance
Governance, Risk, and Compliance Alignment
- Ensure AI/ML platforms align with enterprise governance, risk, and regulatory requirements
- Drive consistent implementation of controls across the AI/ML lifecycle and platform services
- Partner with risk, compliance, and control functions to support compliant, transparent, and auditable AI usage
What you have
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 15+ years of experience in platform architecture/engineering, software engineering, or AI/ML engineering
- 5+ years operating at a Principal Engineer or equivalent senior technical leadership level
- Strong experience designing and scaling AI/ML platforms and services in cloud environments (GCP preferred)
- Hands-on experience with AI/ML platforms such as Vertex AI, Dataiku, SageMaker, or equivalent
- Deep understanding of the AI/ML lifecycle including model development, training, deployment, and monitoring
- Experience working within large-scale data ecosystems and integrating with data platforms
- Familiarity with distributed systems, platform architecture, and scalable service design
- Proven ability to define and implement engineering standards and platform patterns across teams
- Experience driving cross-functional technical alignment across multiple engineering groups
- Strong understanding of platform scalability, reliability, and operational excellence principles
- Demonstrated ability to reduce vendor dependency and build internal engineering capability
Preferred Qualifications:
- Experience in financial services or regulated environments
- Familiarity working within centralized data organizations (CDO structures)
- Experience supporting Data & AI platforms at scale
- Prior experience driving cloud-based platform expansion (GCP preferred)
- Strong background in cross-domain platform integration and architecture collaboration
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
LOCATION
Austin, TX
Requisition ID 2026-121357
Category Technology
Position type Regular
Pay range USD $209,000.00 - $246,000.00 / Year
Application deadline 2026-05-01
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Data is advancing the next-generation roadmap for AI and data science platforms, enabling scalable, secure, and governed capabilities across multiple business domains. This includes expanding predictive analytics platforms and generative AI capabilities on Cloud, supporting use cases such as customer analytics, risk analytics, internal productivity, and operational decisioning.
As part of this evolution, we are scaling AI/ML platform and engineering capabilities on Cloud to support broader adoption. This includes standardizing platform architecture, enabling reusable development and deployment patterns, strengthening model lifecycle capabilities, and integrating platform services to support both predictive and generative AI workloads in a regulated environment.
We are seeking an Applied AI/ML Platform Services Principal to provide senior technical leadership across AI/ML platforms and engineering. This role will drive cross-platform architecture, define engineering standards, and enable scalable, production-grade AI capabilities. That role partners closely with platform engineering, AI/ML engineering, and data & enterprise architecture teams to align delivery, improve engineering maturity, and accelerate AI adoption.
Position Responsibilities:
AI/ML Platform Architecture & Strategy
- Define and drive the architecture for AI/ML platforms and services spanning predictive and generative AI domains
- Establish standardized, reusable platform patterns to support scalable, reliable, and governed AI workloads
- Lead integration strategies that connect AI/ML capabilities across the broader enterprise data ecosystem
AI/ML Engineering Standards & Enablement
- Define and implement AI/ML engineering best practices across development, deployment, and lifecycle management
- Enable consistent and effective use of platform capabilities for model development and evaluation
- Partner closely with engineering teams to improve platform reliability, scalability, and operational maturity
Cross-Functional Technical Leadership
- Serve as a senior technical authority across platform engineering, AI/ML engineering, and architecture teams
- Drive alignment on platform direction, priorities, and execution across multiple organizations
- Influence key technical decisions related to platform evolution and AI/ML engineering practices
Platform Adoption & Delivery Acceleration
- Enable onboarding and scaling of AI use cases through standardized platform capabilities
- Identify and remove technical or process bottlenecks impacting delivery velocity and scalability
- Support high-priority AI initiatives through hands-on technical leadership and guidance
Governance, Risk, and Compliance Alignment
- Ensure AI/ML platforms align with enterprise governance, risk, and regulatory requirements
- Drive consistent implementation of controls across the AI/ML lifecycle and platform services
- Partner with risk, compliance, and control functions to support compliant, transparent, and auditable AI usage
What you have
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 15+ years of experience in platform architecture/engineering, software engineering, or AI/ML engineering
- 5+ years operating at a Principal Engineer or equivalent senior technical leadership level
- Strong experience designing and scaling AI/ML platforms and services in cloud environments (GCP preferred)
- Hands-on experience with AI/ML platforms such as Vertex AI, Dataiku, SageMaker, or equivalent
- Deep understanding of the AI/ML lifecycle including model development, training, deployment, and monitoring
- Experience working within large-scale data ecosystems and integrating with data platforms
- Familiarity with distributed systems, platform architecture, and scalable service design
- Proven ability to define and implement engineering standards and platform patterns across teams
- Experience driving cross-functional technical alignment across multiple engineering groups
- Strong understanding of platform scalability, reliability, and operational excellence principles
- Demonstrated ability to reduce vendor dependency and build internal engineering capability
Preferred Qualifications:
- Experience in financial services or regulated environments
- Familiarity working within centralized data organizations (CDO structures)
- Experience supporting Data & AI platforms at scale
- Prior experience driving cloud-based platform expansion (GCP preferred)
- Strong background in cross-domain platform integration and architecture collaboration
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
See all 42+ AI ML Platform jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI ML Platform
Confirm your degree maps to the role
TN approval depends on a clear match between your degree field and the AI ML Platform job duties. A computer science or electrical engineering degree works cleanly. An unrelated bachelor's with ML coursework can create problems at the border or consulate.
Target employers with existing TN infrastructure
Companies that have sponsored TN visas before already know how to write the support letter and structure job duties correctly. Look for roles at mid-to-large tech firms in cloud infrastructure, MLOps, and AI platform engineering, where TN filings are routine.
Audit your job offer letter before accepting
The employer support letter must name the correct TN occupational category, describe duties that align with it, and state the position is temporary. Vague or overly broad job descriptions are a common reason CBP officers push back at Canadian ports of entry.
Use Migrate Mate to find sponsoring employers
Search Migrate Mate to identify AI ML Platform roles at employers that actively support TN visa sponsorship. It filters by visa type so you're not cold-applying to companies unfamiliar with the process.
Prepare for Computer Systems Analyst classification scrutiny
If your employer classifies the role under Computer Systems Analyst rather than Engineer, CBP may ask how your duties involve analyzing and designing systems rather than building models. Prepare a plain-language explanation of your day-to-day responsibilities that aligns with the TN occupation category your employer has listed in the support letter.
Plan your Mexican national consular appointment early
Unlike Canadians who can get TN status at the port of entry, Mexican nationals must schedule a consular interview. Appointment availability varies significantly by location. Starting the process before you have a final start date gives you room to handle scheduling delays without losing the offer.
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Find AI ML Platform JobsAI ML Platform TN Visa: Frequently Asked Questions
Does an AI ML Platform role qualify for the TN visa?
Yes, most AI ML Platform positions qualify under either the Engineer or Computer Systems Analyst category, depending on how the role is defined and what degree you hold. Roles centered on designing and deploying ML infrastructure typically fit Engineer. Roles focused on systems analysis and integration often fit Computer Systems Analyst. Your employer's support letter needs to match the duties to the right category precisely.
How does TN compare to H-1B for AI ML Platform jobs?
TN has no annual lottery, no cap for Canadians, and no USCIS petition process, which means faster approvals and no chance of being left out by random selection. H-1B requires employer sponsorship through a USCIS filing and exposes you to lottery risk. For AI ML Platform roles where the specialty occupation and degree requirements overlap cleanly with TN categories, TN is a more predictable path.
Can I switch employers while working on a TN visa in an AI ML Platform role?
Yes, but TN status is employer-specific. When you change jobs, your new employer must provide a fresh support letter and you'll need to obtain a new TN, either at a Canadian port of entry or through a USCIS change-of-status filing. You cannot simply carry your existing TN to a new company the way you can port an H-1B under certain conditions.
Where can I find AI ML Platform jobs that support TN visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces AI ML Platform roles at employers that actively offer TN visa sponsorship, so you're targeting companies already set up to handle the support letter and filing process rather than educating employers from scratch. Filtering by TN visa type narrows your results to relevant opportunities from the start.
What documents do I need as a Mexican national applying for a TN visa in an AI ML Platform role?
You'll need a valid passport, DS-160 confirmation, the USCIS MRV fee receipt, a consular appointment, your employer's TN support letter specifying the occupational category and position duration, and proof of your qualifying degree. If your degree is from a Mexican institution, having an official English translation and any credential evaluation ready reduces the chance of administrative processing delays.
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