H-1B Visa Forward Deployed Engineering Jobs
Forward Deployed Engineering roles sit at the intersection of software development and on-site client implementation, and they consistently qualify as H-1B specialty occupations requiring at least a bachelor's degree in computer science, engineering, or a related field. Employers in this space file LCAs under SOC codes tied to software development, so prevailing wage compliance is built into every offer.
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Get Access To All JobsThe application window will be open until at least May 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 7 years of experience in cloud computing or a technical customer-facing role.
- 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 retrieval-augmented generation (RAG) systems.
- Experience in people management, including leading technical teams.
- Experience in Python.
PREFERRED QUALIFICATIONS:
- MBA or Master's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Experience in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
- Expertise in designing intuitive interfaces for 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 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 alignment with Product, Engineering, and Google Cloud Regional Sales leadership. You will empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management issues that hinder AI from achieving enterprise-grade maturity.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $183,000-$265,000 + 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 Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
- Identify skill gaps in emerging tech (model context protocol (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.
The application window will be open until at least May 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 7 years of experience in cloud computing or a technical customer-facing role.
- 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 retrieval-augmented generation (RAG) systems.
- Experience in people management, including leading technical teams.
- Experience in Python.
PREFERRED QUALIFICATIONS:
- MBA or Master's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Experience in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
- Expertise in designing intuitive interfaces for 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 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 alignment with Product, Engineering, and Google Cloud Regional Sales leadership. You will empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management issues that hinder AI from achieving enterprise-grade maturity.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $183,000-$265,000 + 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 Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
- Identify skill gaps in emerging tech (model context protocol (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 295+ 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 H-1B Visa Sponsorship in Forward Deployed Engineering
Confirm your role's SOC code early
Forward Deployed Engineers are typically filed under software developer or systems engineer SOC codes. Check the O*NET profile for your target title to verify the degree requirement aligns with your credentials before an employer submits your LCA.
Target defense and enterprise software employers
Companies building tools for federal agencies or large enterprises have established H-1B filing infrastructure and frequently hire for forward deployment roles. Search Migrate Mate to filter employers with verified LCA filing history in this occupation.
Document client-site travel in your offer letter
Forward Deployed Engineers often work across multiple client locations. USCIS requires that your I-129 petition or an amended filing covers each new worksite, so get the expected deployment locations listed in your offer documentation from day one.
Use OFLC Wage Search to benchmark your offer
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your SOC code and work location. Run the OFLC Wage Search for your specific metro area before negotiating, since deployed roles sometimes span high-cost cities.
File an amended petition for new client sites
If you're deployed to a client location not covered in your original H-1B petition, USCIS requires an amended I-129 before you start work there. Confirm with your employer's HR team that a new LCA and amendment are filed for each material worksite change.
Ask about premium processing before your start date
Forward deployment roles often have hard client start dates. USCIS premium processing guarantees a 15-business-day adjudication decision. Confirm whether your employer or you will cover that cost, and factor it into your start date negotiation.
Forward Deployed Engineering jobs are hiring across the US. Find yours.
Find Forward Deployed Engineering JobsForward Deployed Engineering H-1B Visa: Frequently Asked Questions
Do Forward Deployed Engineering jobs qualify as H-1B specialty occupations?
Yes. Forward Deployed Engineering roles require theoretical and applied knowledge in software development, systems integration, or a closely related engineering field, which meets USCIS's specialty occupation standard. Your employer must demonstrate that the position normally requires at least a bachelor's degree in a specific technical discipline, and most legitimate FDE roles at enterprise software companies clear that bar without difficulty.
How does working across multiple client sites affect my H-1B status?
Each worksite where you spend more than minimal time must be covered by a certified LCA posting. If your deployment schedule changes significantly after your I-129 is approved, your employer is responsible for filing an amended petition with USCIS before you begin work at the new location. Make sure your employer has a process for tracking and filing amendments when client deployments shift.
How do I find employers that sponsor H-1B visas for Forward Deployed Engineering roles?
Migrate Mate filters job listings by verified LCA filing history, so you can identify which employers have actually sponsored H-1B workers in software and systems engineering roles rather than relying on employer claims. Enterprise software, defense tech, and government contractor firms represent the most consistent sponsors for this job title specifically.
Can I change employers after my H-1B is approved for a Forward Deployed Engineering role?
Yes. Under AC21 portability rules, you can move to a new H-1B employer in a same or similar occupation once your petition has been approved for at least 180 days. For FDE roles, same or similar typically means another software development or systems integration position. Your new employer must file an H-1B transfer petition before your last day with the current sponsor.
What happens to my H-1B status if my client deployment ends early?
Your H-1B status is tied to your employer, not the specific client engagement. If a deployment ends, you remain in valid status as long as your employer maintains the employment relationship and your approved petition is still valid. If your employer terminates you, you have a 60-day grace period to find a new sponsoring employer, change status, or depart the U.S.
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