3 days ago
Base Salary
$173k - $310k/yr
Responsibilities
- Architect, deploy, configure, and debug AI agents and integrations in complex live enterprise tenant environments.
- Lead technical discovery with enterprise executives and translate business requirements into product configurations, proofs of concept, and integration specifications.
- Synthesize field telemetry, edge-case failures, and recurring customer friction into product roadmap and engineering backlog insights.
- Lead the productization of recurring field solutions into standardized, automated, out-of-the-box capabilities.
- Act as a trusted technical advisor to customers, Workday Services leads, AI Deployment Architects, Account Teams, and customer executives.
- Own strategically important engagements from kickoff through graduation within standard six-month deployment cycles.
- Mentor other Forward Deployed Engineers and help set the technical direction of the FDE practice.
Requirements
- 10+ years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, or Software Development, including complex enterprise technical engagements.
- Hands-on coding and debugging skills in Python, Java, or similar technologies.
- Deep knowledge of REST APIs, object-oriented design, system architecture, and integration patterns.
- Working knowledge of Workday business processes, security and permissions, tenant configuration, integrations, and customer implementation and governance.
- Experience partnering with enterprise executives on software deployments, live data troubleshooting, and custom workflow integration.
- Ability to abstract generalizable product requirements from customer issues and influence product development through field insights.
- Exceptional verbal and written technical communication skills, including communicating complex issues to nontechnical leaders.
- Ability to work effectively amid ambiguity and evolving requirements across Product, Engineering, Services, and Sales.
- Collaborative leadership skills and experience mentoring engineers.
- Preferred: applied experience with LLM-powered or agentic AI systems, including prompt/context engineering, retrieval-augmented generation, evaluations, or agent orchestration frameworks.
- Willingness and ability to travel up to 20% to customer sites.
Benefits
- Flexible work model requiring at least 50% of each quarter in the office or in the field with customers, prospects, and partners.
- Engagements generally follow standard six-month deployment cycles.
- The role may be eligible for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable accommodation support.
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.