Mid Level Forward Deployed AI Engineer Jobs
Mid level forward deployed ai engineer jobs go to engineers ready to own end-to-end deployments, mentor junior teammates, and drive technical decisions with minimal oversight. Openings are predominantly on-site and hybrid across Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with employers like Jobot, Stripe, and Google hiring at this level now.
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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:
- Support customer discovery to understand goals and functional requirements for AI agent deployments
- Serve as a day-to-day technical contact for design partners and Early Access (EA) customers, maintaining clear communication and setting expectations
- Execute EA deployments end-to-end: implement, configure, and troubleshoot solutions based on ongoing customer feedback
- Analyze customer tenant data, configurations, and workflows to evaluate agent performance and behavior
- Triage issues effectively, distinguishing between bugs, configuration errors, and product gaps, and escalate to appropriate engineering teams
- Maintain clear status updates, tracking deployment risks, open technical issues, and next steps for internal and external stakeholders
- Translate customer feedback and field findings into detailed problem statements and actionable bug reports for core engineering
- Assist in evaluating pre-GA stage gates and graduation metrics to ensure product readiness
- Document deployment playbooks, repeatable configuration patterns, and troubleshooting guides to support scaling efforts
- Collaborate closely with program managers and Workday Services leads throughout customer implementations
- Support early General Availability (GA) releases until product graduation criteria are achieved
About You
Basic Qualifications
- 5+ years of experience in technical consulting, solutions engineering, implementation, technical product management, or customer support within enterprise software environments Willingness and ability to travel up to 20% to customer sites as needed
Other Qualifications
- Proven ability to manage technical initiatives in fast-paced or ambiguous environments with minimal direction
- Experience managing customer technical relationships, setting expectations, and resolving technical challenges collaboratively 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.PleasantonPrimary Location Base Pay Range: $148,000 USD - $222,000 USD
Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD
Additional Considerations:
If performed in Colorado, the pay range for this job is $130,400 - $195,600 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:
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.
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:
- Support customer discovery to understand goals and functional requirements for AI agent deployments
- Serve as a day-to-day technical contact for design partners and Early Access (EA) customers, maintaining clear communication and setting expectations
- Execute EA deployments end-to-end: implement, configure, and troubleshoot solutions based on ongoing customer feedback
- Analyze customer tenant data, configurations, and workflows to evaluate agent performance and behavior
- Triage issues effectively, distinguishing between bugs, configuration errors, and product gaps, and escalate to appropriate engineering teams
- Maintain clear status updates, tracking deployment risks, open technical issues, and next steps for internal and external stakeholders
- Translate customer feedback and field findings into detailed problem statements and actionable bug reports for core engineering
- Assist in evaluating pre-GA stage gates and graduation metrics to ensure product readiness
- Document deployment playbooks, repeatable configuration patterns, and troubleshooting guides to support scaling efforts
- Collaborate closely with program managers and Workday Services leads throughout customer implementations
- Support early General Availability (GA) releases until product graduation criteria are achieved
About You
Basic Qualifications
- 5+ years of experience in technical consulting, solutions engineering, implementation, technical product management, or customer support within enterprise software environments Willingness and ability to travel up to 20% to customer sites as needed
Other Qualifications
- Proven ability to manage technical initiatives in fast-paced or ambiguous environments with minimal direction
- Experience managing customer technical relationships, setting expectations, and resolving technical challenges collaboratively 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.PleasantonPrimary Location Base Pay Range: $148,000 USD - $222,000 USD
Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD
Additional Considerations:
If performed in Colorado, the pay range for this job is $130,400 - $195,600 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:
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.
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Who's Hiring
Top Industries Hiring
- Technology & Software39
- Banking & Financial Services8
- Consulting & Professional Services8
- Staffing & Recruiting7
- Artificial Intelligence4
Mid Level Forward Deployed AI Engineer Jobs: Frequently Asked Questions
How do I get a mid level forward deployed ai engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you led the full deployment cycle, made architecture decisions, or resolved production issues independently. Employers at this level want evidence that you can handle ambiguity and deliver outcomes, not just complete tasks. Tailor your application to show cross-functional collaboration with customers or field teams alongside your technical depth.
Which companies hire mid level forward deployed ai engineers?
Companies hiring mid level forward deployed ai engineers right now include Jobot, Stripe, and Google, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from growth-stage AI companies, enterprise software firms, and defense or government contractors who embed engineers directly with client organizations.
Are there remote mid level forward deployed ai engineer jobs?
Yes, though the role is inherently client-facing and often requires on-site presence. About 49% of mid level forward deployed ai engineer openings are remote or hybrid as of November 2026, reflecting roles where customer engagement is managed virtually or the deployment environment supports distributed work. Fully remote openings exist but are less common than in generalist engineering roles.
How do I move up to a mid level forward deployed ai engineer role?
Moving from entry level to mid level in this specialty means deepening both your AI engineering skills and your ability to operate autonomously with customers. Build a record of shipping models or systems end-to-end, take on progressively larger deployments, and develop comfort handling stakeholder communication without senior supervision. Demonstrating measurable business impact, not just technical output, is what signals readiness for the mid level title.
Which industries hire the most mid level forward deployed ai engineers?
Mid Level forward deployed ai engineer roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in custom AI deployments that require hands-on engineers working directly alongside client teams, which drives sustained mid level hiring across both established enterprises and high-growth technology companies.