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Forward Deployed Engineer
Workday
Sponsorship not confirmed
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About the job
Workday · Pleasanton, CA · $148,000 USD - $222,000 USD · hybrid We’re Workday, a leading AI platform for managing people, money, and agents. We're seeking a Forward Deployed Engineer to bridge hands-on software development with high-impact customer technical strategy. As a Forward Deployed Engineer, you will partner with enterprise customers to architect, deploy, debug, and optimize Workday’s AI agents and developer platform solutions within live customer environments. Responsibilities: Deploy, configure, and debug AI agents and integrations directly inside live enterprise tenant environments against complex customer workflows and real-world data. Lead technical discovery sessions with key customer stakeholders to translate complex business requirements into robust product configurations, POCs, and integration specs. Capture field telemetry, edge-case failures, and customer friction points to directly influence the core product roadmap and engineering backlog. Identify recurring deployment challenges and transform custom fixes into standardized, automated out-of-the-box product capabilities. Partner closely with Workday Services leads, AI Deployment Architects, and Account Teams to ensure seamless project delivery while staying focused on core product strength. Guide engagements through structured milestones,from kickoff to graduation,enabling self-sustaining customer ownership within standard 6-month deployment cycles. Requirements: 7+ years in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, or Software Development. Hands-on coding and debugging skills (e.g., Python, Java, or similar) with solid understanding of REST APIs, object-oriented design, system architecture, and integration patterns. Proven experience working directly with enterprise clients on complex software deployments, live data troubleshooting, and custom workflow integration. Willingness and ability to travel up to 20% to customer sites as needed. Nice to Have: Applied experience with LLM-powered or agentic AI systems , e.g., prompt/context engineering, retrieval-augmented generation, evaluations, or agent orchestration frameworks , and a working understanding of how model behavior shows up as product and customer-facing issues in the field. What We Offer: Annualized base salary ranges: $148,000 USD - $222,000 USD for the primary location, and $123,900 USD - $222,000 USD for additional US locations. Comprehensive benefits, including bonus plan, annual refresh stock grants, and flexible work arrangements.
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