E-3 Visa Forward Deployed Engineering Jobs
Forward Deployed Engineering roles qualify as E-3 specialty occupations when the position requires a bachelor's degree in computer science, engineering, or a directly related field. Australian citizens can secure E-3 visa sponsorship for these client-facing technical roles without competing in the H-1B lottery, with unlimited two-year renewals tied to continued employment.
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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 155+ 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 E-3 Visa Sponsorship as a Forward Deployed Engineering
Frame your degree for specialty occupation
Forward Deployed Engineering sits at the intersection of software engineering and customer-facing consulting. Document how your degree maps to the technical requirements of the specific role, not just the job title, before applications go out.
Address client travel requirements upfront
Forward Deployed roles often involve travel to client sites across multiple states. Confirm with your hiring contact that the LCA will cover your primary worksite, since USCIS requires a certified LCA tied to a specific work location before your visa is issued.
Use Migrate Mate's E-3 filing service for LCA and consulate prep
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The LCA must be certified by DOL before your consulate appointment, and errors at this stage delay your start date by weeks.
Search specifically for E-3 sponsorship on Migrate Mate
Most job boards don't filter by visa type. Migrate Mate is built for Australian professionals seeking U.S. roles with E-3 sponsorship, so you're looking at employers who already understand the process rather than educating recruiters from scratch.
Negotiate your start date around consulate processing
Australian consulates in Sydney, Melbourne, and Perth currently schedule E-3 interviews within a few weeks, but administrative processing can extend timelines unpredictably. Build at least six weeks between your offer acceptance and your proposed start date.
Forward Deployed Engineering jobs are hiring across the US. Find yours.
Find Forward Deployed Engineering JobsForward Deployed Engineering E-3 Visa: Frequently Asked Questions
How do I find Forward Deployed Engineering jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to find Forward Deployed Engineering roles where employers already know and support the E-3 visa process. Most general job boards don't filter by visa type, so you end up spending time educating recruiters about a visa they've never sponsored. Migrate Mate surfaces roles specifically open to Australian professionals on E-3 visas.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does Forward Deployed Engineering qualify as a specialty occupation for the E-3 visa?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or a closely related discipline. The key is that the degree requirement must be inherent to the position, not just preferred. Roles that accept any bachelor's degree regardless of field are harder to qualify. Job descriptions that specify engineering or computer science degrees are a strong signal the role will pass USCIS scrutiny.
How does the E-3 visa compare to the H-1B for Forward Deployed Engineering roles?
The E-3 has no annual cap and no lottery, so you can apply at any time of year and start within weeks of receiving an offer rather than waiting up to 18 months. H-1B selection is random and runs only once a year in April, with a roughly 25 percent selection rate. For Forward Deployed Engineering roles, where employers often need staff deployed to client sites on short timelines, the E-3's on-demand availability is a practical advantage.
Can I switch employers or clients while on an E-3 in a Forward Deployed role?
You can change employers on the E-3, but your current visa is tied to your sponsoring employer's Labor Condition Application. If you move to a new company, your new employer must file a fresh LCA and you'll need either a new visa stamp or a change of status. If your role involves being seconded to a client site rather than changing employers, that's generally covered under the existing LCA as long as your primary employer relationship and work location remain consistent.
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