H-1B Visa Forward Deployed AI Engineer Jobs
H-1B visa jobs for Forward Deployed AI Engineers sit at the intersection of enterprise software and machine learning, requiring a bachelor's degree or higher in computer science, AI, or a related field. Employers file an LCA and I-129 petition for each placement, and initial H-1B status runs up to three years.
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Get Access To All JobsINTRODUCTION
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
ABOUT THE TEAM
You'll join the AI Products team, where we build Workday's AI agents from the ground up. Our mission is to bring these agents to life inside real customer environments — testing them against real data, real workflows, and real use cases.
We're early in the agent lifecycle, which means the work here is hands-on, fast-moving, and genuinely entrepreneurial: you'll often help write the playbook for how Workday deploys a new agent, rather than follow one that already exists. If you want to be close to the product at the exact moment it's taking shape, and to see your fieldwork directly change the product, this is the team to build inside.
ABOUT THE ROLE
As a Forward Deployed Engineer, you'll work directly with some of Workday's most important early customers to deploy, configure, and improve our AI products and agents. You'll work alongside our product and engineering teams as an extension of our internal product managers, playing a central role in agent Early Access (EA) programs and running the customer deployments inside them.
Your mission is to make the product better by putting it to work in a live customer environment. A successful deployment is both a win for the customer and proof that the product is improving, so making early customers successful matters just as much as hardening the agent itself. You'll often be the first person at Workday to run a deployment of a given agent, so good judgment, clear communication, ownership, and organization will matter as much as technical curiosity.
Every deployment will surface something the product wasn't built for yet, so creative problem-solving and a "yes, and" mindset are core to this role: instead of telling a customer that something isn't possible, you'll find a way to solve their use case with what exists today, bring them along on what's coming next, and turn the gap into clear feedback for product and engineering.
In this role, you will:
- Lead customer discovery to understand each customer's goals and what success looks like for them
- Act as the day-to-day lead for design partners and EA customers: setting and resetting expectations, working with senior leaders across HR, Finance, and IT, and repairing relationships when a deployment hits a rough patch
- Run EA deployments end to end: implement, configure, debug, and improve the solution through rapid iteration with direct customer feedback
- Interpret customer tenant data, configuration, and unique workflows, and how the agent performs against them
- Triage every issue quickly, sorting bugs from configuration issues, product gaps, and change-management needs, prioritize them, and route each to the right owner with the right urgency
- Keep customers and internal teams updated on status, risks, and next steps
- Turn customer feedback into clear problem statements, reproduction details, and evidence that product and engineering can act on to make the agent more accurate and reliable
- Help define, measure, and assess the pre-GA stage gates and graduation scorecard for your product
- Build playbooks, configuration patterns, and known-issue guides, and hand them off to the teams that scale deployments and build documentation
- Partner closely with your product's program manager and the Workday Services lead on each customer project
- Stay engaged through early GA until your product meets its graduation criteria, and remain a point of contact for major customers and future releases afterward
BASIC QUALIFICATIONS - P4 (SENIOR)
- 7+ years of experience in product management, consulting, solutions engineering, implementation, or customer support within complex enterprise environments
- Willingness and ability to travel up to 20% to customer sites as needed
BASIC QUALIFICATIONS - P5 (PRINCIPAL)
- 10+ years of experience in technical product management, solution architecture, forward deployed engineering, enterprise implementation, or principal-level consulting within complex enterprise SaaS ecosystems
- Experience driving complex AI/ML, automation, or enterprise software deployments at scale with Fortune 500 executive stakeholders
- Willingness and ability to travel up to 20% to customer sites as needed
OTHER QUALIFICATIONS
- A demonstrated history of entrepreneurial ownership: you've built something from scratch, worked without a playbook, or driven an initiative end to end in an ambiguous environment, and you're energized by figuring out the right path when one doesn't already exist
- Experience managing strategic customer relationships with senior leaders in key accounts — setting and resetting expectations, navigating organizational change, and rebuilding trust when a project hits a rough patch
- Working knowledge of Workday, including business processes, security and permissions, tenant configuration, integrations, and how customers implement and govern Workday, so you can read a customer's tenant and understand how the agent will behave inside it
WORKDAY PAY TRANSPARENCY STATEMENT
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.
Primary Location: USA.CA.Pleasanton
Primary Location Base Pay Range: $176,000 USD - $264,000 USD
Additional US Location(s) Base Pay Range: $148,200 USD - $264,000 USD
Additional Considerations:
If performed in Colorado, the pay range for this job is $156,000 - $234,000 USD based on min and max pay range for that role if performed in CO.
The application deadline for this role is the same as the posting end date stated as below:
01/11/2027
OUR APPROACH TO FLEXIBLE WORK
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
ARE YOU BEING REFERRED TO ONE OF OUR ROLES?
If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
INTRODUCTION
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
ABOUT THE TEAM
You'll join the AI Products team, where we build Workday's AI agents from the ground up. Our mission is to bring these agents to life inside real customer environments — testing them against real data, real workflows, and real use cases.
We're early in the agent lifecycle, which means the work here is hands-on, fast-moving, and genuinely entrepreneurial: you'll often help write the playbook for how Workday deploys a new agent, rather than follow one that already exists. If you want to be close to the product at the exact moment it's taking shape, and to see your fieldwork directly change the product, this is the team to build inside.
ABOUT THE ROLE
As a Forward Deployed Engineer, you'll work directly with some of Workday's most important early customers to deploy, configure, and improve our AI products and agents. You'll work alongside our product and engineering teams as an extension of our internal product managers, playing a central role in agent Early Access (EA) programs and running the customer deployments inside them.
Your mission is to make the product better by putting it to work in a live customer environment. A successful deployment is both a win for the customer and proof that the product is improving, so making early customers successful matters just as much as hardening the agent itself. You'll often be the first person at Workday to run a deployment of a given agent, so good judgment, clear communication, ownership, and organization will matter as much as technical curiosity.
Every deployment will surface something the product wasn't built for yet, so creative problem-solving and a "yes, and" mindset are core to this role: instead of telling a customer that something isn't possible, you'll find a way to solve their use case with what exists today, bring them along on what's coming next, and turn the gap into clear feedback for product and engineering.
In this role, you will:
- Lead customer discovery to understand each customer's goals and what success looks like for them
- Act as the day-to-day lead for design partners and EA customers: setting and resetting expectations, working with senior leaders across HR, Finance, and IT, and repairing relationships when a deployment hits a rough patch
- Run EA deployments end to end: implement, configure, debug, and improve the solution through rapid iteration with direct customer feedback
- Interpret customer tenant data, configuration, and unique workflows, and how the agent performs against them
- Triage every issue quickly, sorting bugs from configuration issues, product gaps, and change-management needs, prioritize them, and route each to the right owner with the right urgency
- Keep customers and internal teams updated on status, risks, and next steps
- Turn customer feedback into clear problem statements, reproduction details, and evidence that product and engineering can act on to make the agent more accurate and reliable
- Help define, measure, and assess the pre-GA stage gates and graduation scorecard for your product
- Build playbooks, configuration patterns, and known-issue guides, and hand them off to the teams that scale deployments and build documentation
- Partner closely with your product's program manager and the Workday Services lead on each customer project
- Stay engaged through early GA until your product meets its graduation criteria, and remain a point of contact for major customers and future releases afterward
BASIC QUALIFICATIONS - P4 (SENIOR)
- 7+ years of experience in product management, consulting, solutions engineering, implementation, or customer support within complex enterprise environments
- Willingness and ability to travel up to 20% to customer sites as needed
BASIC QUALIFICATIONS - P5 (PRINCIPAL)
- 10+ years of experience in technical product management, solution architecture, forward deployed engineering, enterprise implementation, or principal-level consulting within complex enterprise SaaS ecosystems
- Experience driving complex AI/ML, automation, or enterprise software deployments at scale with Fortune 500 executive stakeholders
- Willingness and ability to travel up to 20% to customer sites as needed
OTHER QUALIFICATIONS
- A demonstrated history of entrepreneurial ownership: you've built something from scratch, worked without a playbook, or driven an initiative end to end in an ambiguous environment, and you're energized by figuring out the right path when one doesn't already exist
- Experience managing strategic customer relationships with senior leaders in key accounts — setting and resetting expectations, navigating organizational change, and rebuilding trust when a project hits a rough patch
- Working knowledge of Workday, including business processes, security and permissions, tenant configuration, integrations, and how customers implement and govern Workday, so you can read a customer's tenant and understand how the agent will behave inside it
WORKDAY PAY TRANSPARENCY STATEMENT
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.
Primary Location: USA.CA.Pleasanton
Primary Location Base Pay Range: $176,000 USD - $264,000 USD
Additional US Location(s) Base Pay Range: $148,200 USD - $264,000 USD
Additional Considerations:
If performed in Colorado, the pay range for this job is $156,000 - $234,000 USD based on min and max pay range for that role if performed in CO.
The application deadline for this role is the same as the posting end date stated as below:
01/11/2027
OUR APPROACH TO FLEXIBLE WORK
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
ARE YOU BEING REFERRED TO ONE OF OUR ROLES?
If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
See all 42+ H-1B Visa Forward Deployed AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Forward Deployed AI Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Forward Deployed AI Engineer
Frame your degree for specialty occupation
USCIS evaluates whether your specific degree field directly relates to AI engineering duties. A computer science, machine learning, or software engineering degree strengthens your petition. Applied mathematics or data science degrees are accepted when your coursework maps directly to model deployment and systems integration work.
Verify worksite LCA coverage before accepting
Forward Deployed AI Engineers often work on-site at client locations. Each worksite needs its own certified LCA from DOL. Confirm your employer has filed separate LCA certifications for every location you'll be deployed to before you accept an offer or sign anything.
Search employers using LCA sponsorship history
Use Migrate Mate to find employers with verified H-1B visa LCA filing history for AI and software engineering roles. Targeting companies that have filed for similar positions reduces rejection risk and shows the employer already understands the specialty occupation documentation requirements.
Document deployment duties in precise technical language
Your employer's I-129 petition must describe duties specific enough to satisfy USCIS specialty occupation standards. Push your employer to describe tasks like model fine-tuning, inference pipeline deployment, and customer-side integration work, not vague phrases like 'technical support' that undercut the specialty occupation argument.
Check prevailing wage tiers before negotiating
Look up the prevailing wage for your SOC code and work location using the OFLC Wage Search before salary discussions. Your certified LCA must meet DOL prevailing wage requirements, so knowing the wage level upfront lets you negotiate an offer your employer can actually certify without delays.
Align your O*NET profile to your offer letter
Review the O*NET occupation profile for Software Developers or Computer and Information Research Scientists to identify the duty descriptions that match your Forward Deployed AI Engineer role. Ask your employer to reference those standard duty categories in the job description to build a cleaner specialty occupation case.
H-1B Visa Forward Deployed AI Engineer: Frequently Asked Questions
Does a Forward Deployed AI Engineer role qualify as an H-1B specialty occupation?
Yes, it typically qualifies. The role requires applying machine learning systems, designing deployment architectures, and troubleshooting AI pipelines, duties that require at least a bachelor's degree in computer science, AI, software engineering, or a closely related field. USCIS evaluates the specific job description, so your employer's petition must clearly articulate those degree-level technical duties rather than framing the role as general customer support.
How long does H-1B status last for this role?
USCIS grants initial H-1B status for up to three years. Your employer can file for an extension, bringing the total maximum to six years. Beyond six years, extensions are only available if you have an approved I-140 immigrant petition or a PERM labor certification that has been pending for at least 365 days. Extensions are employer-tied, so a job change requires a new petition.
What happens if I get deployed to a client site not listed on my LCA?
Working at a location not covered by a certified LCA violates DOL regulations. Each worksite requires its own certified LCA before you begin work there. If your employer adds a new client deployment location, they must file and receive DOL certification for that specific site first. Confirm your employer has this process in place before accepting a role with multi-site deployment expectations.
How do I find employers who actively sponsor H-1B visas for AI engineering roles?
Migrate Mate lists employers with verified H-1B LCA filing history for AI and software engineering positions, so you can target companies that have already navigated the specialty occupation documentation process. Applying to employers with an established H-1B filing track record for similar roles significantly reduces the risk of a petition denial based on the employer's inexperience with the process.
Can I switch employers after my H-1B is approved for this role?
Yes. H-1B portability under AC21 lets you change employers if your new employer files an H-1B transfer petition before your current status expires. You can start the new job as soon as the transfer petition is filed and accepted, without waiting for final approval. The new employer must file their own LCA and I-129 petition, and each deployment worksite still requires its own certified LCA.