Senior Forward Deployed Engineer (FDE) - Developer Platform
Posted 9 days ago
The role in short
Architect, build, and deploy custom AI agents and agentic applications directly within live customer environments using the Workday Developer Platform stack.
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
The Forward Deployed Engineering (FDE) organization sits at the intersection of Product, Engineering, and customer execution across Agent Factory, Sana, Data Cloud, and the Developer Platform. When Workday launches new AI agents and platform capabilities, early deployments surface complex real-world challenges, from unstructured tenant data and intricate configurations to edge-case enterprise workflows.
The Developer Platform FDE team focuses on agent development: custom AI agents and agentic apps that run on Workday rails and surface anywhere. We work with the customers building their own agents on the Workday Developer Platform, using the same infrastructure Workday uses to power its own agents. Every agent we help ship inherits the security model, business process controls, and audit trail of the system of record for people and money at some of the world’s largest organizations, and thanks to open protocols, those agents can show up in Workday, in Sana, or inside the AI tools people already use every day.
FDEs also serve as a critical feedback engine for Product and Engineering. On the Developer Platform team, you’ll build production agents with Developer Agent, Agent-Ready Tools, and the Agent Harness, and work directly with the product and engineering teams behind those tools. Field insights, recurring customer friction, and proven build patterns become scalable, out-of-the-box capabilities that reach every developer building on Workday. It’s a team where deep technical skill meets real customer impact every day, with direct influence over where the platform goes next.
About the Role
As a Senior Forward Deployed Engineer on the Developer Platform FDE team, you’ll bridge hands-on agent engineering with high-impact customer technical strategy. You’ll partner with enterprise customers to architect, build, deploy, and optimize custom AI agents and agentic apps inside live customer environments.
You’ll work with the full Workday Developer Platform stack. You’ll run custom agents on the Workday Agent Harness, the same agent runtime and infrastructure Workday uses internally. You’ll build agents, apps, and orchestrations in plain language with Developer Agent, from the Workday Developer Site, a VS Code–compatible IDE plug-in, or any other MCP-compatible agentic tool, such as Claude Code, Cursor, or Codex. You’ll wire agents into hundreds of governed, LLM-native Agent-Ready Tools for HR and finance data over MCP, and build with industry-leading ADKs and agent frameworks. You’ll connect agents to each other and to the places people work using open standards like MCP, A2A, and A2UI, alongside REST APIs. And you’ll do it with governance built in, not bolted on, through Workday Extend AI, the Agent System of Record, Agent Passport, and Workday Data Cloud.
You’ll work across the full deployment lifecycle alongside AI Deployment Architects, Product Managers, and Workday Services leads. Your primary objective is twofold: drive immediate customer success, and eliminate implementation friction over time by embedding field-tested solutions back into the core platform.
What you'll do:
- Agent Engineering & Deployment: Build, deploy, configure, and debug custom AI agents and agentic apps inside live enterprise tenants, working against live data, business processes, and security configurations.
- Customer Discovery & Agent Architecture: Lead technical discovery sessions with key customer stakeholders, translating complex business requirements into robust product configurations, POCs, and integration specs.
- Developer Toolkit Feedback: Be a hands-on, everyday user of Developer Agent, Agent-Ready Tools, and the Agent Harness. Partner with Developer, AI, and Integration Platform product teams, providing specific feedback that improves the developer toolkit for the open Workday ecosystem, and capture field telemetry, edge-case failures, and customer friction points that directly influence the product roadmap and engineering backlog.
- Productization of Field Insights: Identify recurring deployment challenges and help transform custom fixes into standardized, automated, out-of-the-box product capabilities, contributing to the reference architectures, playbooks, and pattern guidance that let customers and partners build without us.
- Building Total Agentic Systems with Fellow FDEs: Collaborate with FDEs across Workday’s other agent areas, including first-party agents, Sana, Data Cloud, and Deployment AI, to deliver complete agentic systems. For example, you might pair a custom agent built on the Developer Platform with Workday’s first-party agents, orchestrate them through Sana over A2A, and ground them in Data Cloud.
- Engagement Milestones & Graduation: Guide engagements through structured milestones, from kickoff to graduation, enabling self-sustaining customer ownership within standard 6-month deployment cycles. Workday Services owns the customer project; you own your part of the technical agent-development workstream.
About You
Basic Qualifications
- Experience: 7+ years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, or Software Development.
- Agent Engineering: Hands-on experience building with LLMs or agentic systems, such as tool and function calling, prompt and context engineering, retrieval-augmented generation, or agent orchestration.
- Technical Execution: Hands-on coding and debugging skills (for example, Python, Java, or similar), with a solid understanding of REST APIs, object-oriented design, system architecture, and integration patterns.
- Customer Interaction: Proven experience working directly with enterprise clients on complex software deployments, live data troubleshooting, and custom workflow integration.
- Travel: Willingness and ability to travel up to 20% to customer sites as needed.
Other Qualifications
- Product Mindset: Ability to abstract generalizable product requirements from bespoke customer issues.
- Communication: Exceptional verbal and written technical communication skills; skilled at translating complex technical challenges for non-technical leadership.
- Ambiguity & Agility: Thrives in fast-paced environments with evolving requirements across Product, Engineering, Services, and Sales teams.
- Collaboration: A highly collaborative, low-ego team player adept at working within multi-disciplinary account and delivery pods.
Preferred Qualifications
- Working knowledge of Workday, including business processes, security and permissions, tenant configuration, and integrations.
- Experience with Model Context Protocol (MCP) or Agent2Agent (A2A), including building or consuming MCP servers or multi-agent systems.
- Experience with one or more agent development kits or orchestration frameworks.
- Experience designing evaluations, observability, and guardrails for agents, including agent security concerns such as prompt injection, tool misuse, and least-privilege access.
- Experience building developer tools, SDKs, or platforms.
- Experience with Workday Extend, Workday Orchestrate, or Workday Integrations.
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
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.
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Prep for this interview
5 questions likely to come up at Workday, each matched to a line in this posting.
- 1Discovery and scoping
They wrote: “Customer Discovery & Agent Architecture: Lead technical discovery sessions with key customer stakeholders, translating complex business requirements into robust product configurations, POCs, and integration specs.”
A customer says “we want AI in our claims process.” What do you ask in the first meeting?
How to answer
Why they ask: Most FDE work starts this vague. They want to hear you find the real problem before you pick a tool.
- Map the current process: who touches a claim, in what order, with which systems
- Find the slowest or most error-prone step and ask what it costs them
- Agree on one measurable goal (for example time per claim, or error rate)
- Ask what data you can access, and who signs off on security
Tip: Ask about the work, not the technology. Who does it today, how long it takes, what a mistake costs, and how they'd know it got better.
- 2LLMs, RAG and agents
They wrote: “Agent Engineering: Hands-on experience building with LLMs or agentic systems, such as tool and function calling, prompt and context engineering, retrieval-augmented generation, or agent orchestration.”
A customer wants a chatbot over their internal documents. How do you build it?
How to answer
Why they ask: RAG is the most common first project. They want the whole path, from messy files to answers people trust.
- Collect and clean the documents; handle permissions per user
- Split them into chunks, embed, and store with source links
- Retrieve, then answer with citations; say “I don't know” when retrieval is weak
- Build a test set of real questions with expected answers before launch
Tip: Spend more time on the data and on testing than on the model.
- 3Integrations and APIs
They wrote: “Technical Execution: Hands-on coding and debugging skills (for example, Python, Java, or similar), with a solid understanding of REST APIs, object-oriented design, system architecture, and integration patterns.”
Walk me through connecting our product to a customer's internal system that has no documentation.
How to answer
Why they ask: This happens weekly in the job. They want a calm, step-by-step method.
- Find who owns the system and get read access to a test environment
- Watch real traffic or logs to learn the data shapes
- Build a thin adapter with logging around every call
- Agree on how failures get reported, and who fixes what
Tip: Talk about finding the owner of the system first. The code is the easy part.
- 4Travel
They wrote: “Travel: Willingness and ability to travel up to 20% to customer sites as needed.”
How do you handle being on the road with customers for weeks at a time?
How to answer
Why they ask: Many FDE roles involve regular travel. They check you know what you're signing up for.
- Your past travel or on-site experience
- How you stay productive away from the team
- What travel level works for you, said plainly
Tip: Be honest about what works for you. A mismatch here hurts both sides later.
- 5Cloud, deployment and security
They wrote: “Agent Engineering & Deployment: Build, deploy, configure, and debug custom AI agents and agentic apps inside live enterprise tenants, working against live data, business processes, and security configurations.”
The customer's security team sends a 200-question review. How do you handle it?
How to answer
Why they ask: Security reviews often block deals. FDEs help get through them.
- Start from your company's standard answers (SOC 2 report, past reviews)
- Answer clearly; don't oversell
- Bring in your security team for anything you're unsure of
- Keep the new answers for the next customer
Tip: Reuse past answers, flag honest gaps, and offer a call for the hard questions.
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