TN Visa Forward Deployed Engineering Jobs
Forward Deployed Engineering roles qualify for TN visa sponsorship under the USMCA treaty's Engineer category, covering Canadian citizens at the port of entry and Mexican citizens through consular processing. Employers sponsoring TN visas provide a support letter documenting your qualifications and role details, and your degree field must align directly with the engineering work you'll perform.
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Get Access To All JobsLOCATION:
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least April 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; New York, NY, USA; Los Angeles, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 10 years of experience in cloud computing or a technical customer-facing role, with experience in Python.
- 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
- Experience developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and RAG systems.
- People management experience.
PREFERRED QUALIFICATIONS:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
- Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
- Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (ReAct, self-reflection, etc.), state management, and tool-calling protocols.
ABOUT THE JOB
As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers who bridge the gap between AI products and production-grade reality within customers. You will be responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments.
In this role, you will provide technical mentorship to your team, managing high-level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
The US base salary range for this full-time position is $234,000-$325,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
- Lead technical hiring for forward deployed engineering, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad.
- Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
- Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
LOCATION:
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least April 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; New York, NY, USA; Los Angeles, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 10 years of experience in cloud computing or a technical customer-facing role, with experience in Python.
- 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
- Experience developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and RAG systems.
- People management experience.
PREFERRED QUALIFICATIONS:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
- Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
- Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (ReAct, self-reflection, etc.), state management, and tool-calling protocols.
ABOUT THE JOB
As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers who bridge the gap between AI products and production-grade reality within customers. You will be responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments.
In this role, you will provide technical mentorship to your team, managing high-level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
The US base salary range for this full-time position is $234,000-$325,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
- Lead technical hiring for forward deployed engineering, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad.
- Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
- Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 90+ Forward Deployed Engineering jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Forward Deployed Engineering roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Forward Deployed Engineering
Align your degree to the role title
TN classification requires your engineering degree field to match the job duties, not just the title. A computer engineering degree supports a Forward Deployed Engineering role where you're writing code and deploying systems. A business degree does not, even if you've been doing the work for years.
Target employers with recent visa filings
Companies that have filed recent work visa applications for engineering roles are already experienced with visa sponsorship processes. Searching for employers with documented sponsorship history in your field surfaces candidates faster than cold outreach, and these companies understand the documentation requirements for supporting international talent.
Clarify the work location structure upfront
Forward Deployed Engineers often work at client sites, not just the employer's headquarters. Your TN status is port-of-entry specific and employer-specific. If your role involves extended client deployments, confirm with the employer how they'll handle worksite changes—some may require you to re-present documentation at a U.S. port of entry if you're relocating for an extended period, or they may provide written confirmation that client-site work is part of your authorized role.
Get your offer letter language right before filing
Your offer letter must describe the role in engineering terms tied to specialty knowledge, not sales or account management language. CBP officers read the letter at the port of entry. Phrases like 'technical deployment' and 'systems integration' support the TN Engineer category; 'client success' and 'relationship management' do not.
Use Migrate Mate to find sponsoring employers
Search Migrate Mate to identify Forward Deployed Engineering roles where TN sponsorship is explicitly part of the offer. Filtering by visa type saves you from spending weeks on outreach to employers who won't sponsor before you've had a single conversation.
Prepare for Mexican nationals' consular processing timeline
Unlike Canadians who get TN status at the port of entry, Mexican nationals must schedule a consular interview. Appointment availability varies by post and season. Factor four to eight weeks into your start date negotiation so your employer isn't waiting on a processing delay you didn't flag early.
Forward Deployed Engineering jobs are hiring across the US. Find yours.
Find Forward Deployed Engineering JobsForward Deployed Engineering TN Visa: Frequently Asked Questions
Does Forward Deployed Engineering qualify for TN visa sponsorship?
Yes, if your role is structured around engineering duties. TN classification uses the Engineer category, which requires a degree in engineering or a related technical field and job responsibilities that align with that training. Forward Deployed Engineering roles that center on deploying, integrating, and troubleshooting complex technical systems typically qualify. Roles that are primarily sales or account management in disguise do not, regardless of the title.
How does TN compare to H-1B for Forward Deployed Engineering roles?
TN has no annual lottery and no cap for Canadian citizens, so you can start the process after receiving an offer without waiting for a selection result. H-1B registrations are submitted in March for an October start date, and selection is not guaranteed. For Forward Deployed Engineering roles at companies that qualify you under the Engineer category, TN is a faster and more predictable path than H-1B for Canadian nationals specifically.
Where can I find Forward Deployed Engineering jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for this search. You can filter for Forward Deployed Engineering roles where TN sponsorship is part of the offer, so you're not spending time on outreach to employers who won't file. Most generic job boards don't surface visa sponsorship status at the role level, which makes filtering by TN visa status particularly difficult without a dedicated tool.
Can I switch employers on a TN visa if I get a better Forward Deployed Engineering offer?
Yes. TN status is employer-specific, so your new employer needs to prepare a new support letter and you'll need a new TN approval before your start date. Canadians can get the new TN approved at the port of entry on the day they start. Mexican nationals need to apply at a U.S. consulate. There's no grace period specifically tied to TN status the way there is for H-1B holders, so timing the transition carefully matters.
What happens if my Forward Deployed Engineering role changes after my TN is approved?
If the change is material, meaning new client sites, a significantly different job description, or a title shift away from engineering, your employer should prepare updated documentation and you may need to request a new TN status at your next port of entry or consulate appointment. A role that drifts from technical deployment toward account management could affect your eligibility at renewal. Document what you actually do and compare it to your original TN petition before each renewal.
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