Forward Deployed Engineering Jobs in USA with Visa Sponsorship
Forward Deployed Engineering roles sit at the intersection of software development and customer-facing consulting, making them a strong fit for H-1B visa and O-1 visa sponsorship. Most employers classify this as a specialty occupation requiring a bachelor's degree in computer science or a related engineering field. For detailed occupation requirements, see the O*NET profile.
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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 349+ 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 Forward Deployed Engineering Jobs
Confirm the specialty occupation classification upfront
Forward Deployed Engineer roles must qualify as specialty occupations for H-1B sponsorship. Ask recruiters whether the position requires a specific technical degree, not just any bachelor's, before investing time in the interview process.
Target companies with established visa programs
Larger enterprise software companies and defense contractors are far more likely to have in-house immigration counsel and a repeatable H-1B process. Startups may be willing but lack the infrastructure, which slows sponsorship significantly.
Prepare to demonstrate both technical and client-facing credentials
USCIS scrutinizes hybrid roles more closely. Build a portfolio that clearly shows engineering output, not just project management or consulting work, to strengthen your specialty occupation case during the petition review.
Time your job search around the H-1B cap registration window
Cap-subject H-1B registrations open in March for an October 1 start date. Securing an offer by February gives your employer time to prepare and register before the window closes, avoiding a full year's delay.
Explore cap-exempt employers in defense and government contracting
Forward Deployed Engineers at companies primarily contracting with federal agencies may qualify for cap-exempt H-1B petitions, allowing year-round filing without lottery risk. Ask recruiters explicitly about the employer's cap-exempt status.
Australian citizens should specifically pursue the E-3 visa
The E-3 visa has no lottery, no annual cap pressure, and processes in weeks rather than months. Forward Deployed Engineering easily meets the specialty occupation standard, making E-3 one of the most efficient paths for Australian applicants.
Forward Deployed Engineering jobs are hiring across the US. Find yours.
Find Forward Deployed Engineering JobsFrequently Asked Questions
Does Forward Deployed Engineering qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the role normally requires a bachelor's degree or higher in a specific technical field. Forward Deployed Engineering roles at enterprise software companies typically require a degree in computer science, software engineering, or a closely related discipline, which satisfies the specialty occupation standard. Roles where any degree field is acceptable are harder to sponsor.
Which visa types do employers typically use to sponsor Forward Deployed Engineers?
H-1B is the most common path for cap-subject employers. Australian citizens can pursue the E-3, which bypasses the lottery entirely. Candidates with an established internal transfer track may qualify for the L-1B if moving from an overseas office. O-1A is an option for engineers with demonstrated recognition, such as patents, published research, or significant industry awards. Browse current openings on Migrate Mate to see which employers are actively sponsoring.
Is a computer science degree required, or do other degrees qualify?
A computer science or software engineering degree is the clearest path to approval, but related fields like electrical engineering, mathematics, or information systems can qualify if the degree is directly applicable to the technical work. Some employers also accept three years of relevant work experience per year of missing education. USCIS focuses on whether the degree field logically connects to the specific role duties, not just the title.
Do Forward Deployed Engineering roles at defense contractors offer any H-1B advantages?
Yes. Companies that primarily perform work under federal grants or contracts with a government research or education mission may qualify as cap-exempt H-1B employers, allowing petitions to be filed year-round without lottery exposure. This is particularly common at defense contractors and federally funded research centers. Confirm the employer's cap-exempt status directly with their immigration team before assuming this benefit applies.
How does the hybrid consulting-and-engineering nature of this role affect sponsorship approval?
USCIS pays closer attention to roles that blend technical and client-facing responsibilities, particularly if the job description emphasizes communication or project management over engineering output. Employers and immigration attorneys typically address this by documenting that the core duties require theoretical and practical application of computer science knowledge. Strong degree alignment and detailed offer letters describing technical deliverables significantly reduce the risk of a Request for Evidence.
What is the prevailing wage requirement for sponsored Forward Deployed Engineering jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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