1 day ago
Base Salary
$173k - $310k/yr
Responsibilities
- Architect, build, deploy, optimize, and debug custom AI agents and agentic applications in live enterprise environments.
- Lead technical discovery with senior customer leaders and translate ambiguous business requirements into enterprise-grade builds.
- Provide product and developer-toolkit feedback using field telemetry, edge-case failures, and recurring customer friction.
- Productize field-tested solutions into standardized capabilities, reference architectures, playbooks, and evaluation approaches.
- Collaborate with FDEs across AI product areas to build complete agentic systems using Workday and third-party capabilities.
- Act as technical lead for the pod, guide engagements through six-month deployment cycles, and mentor other engineers.
- Partner with Product, Engineering, Services, and Sales teams while owning the technical agent-development workstream and resulting product insights.
Requirements
- 10+ years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, or Software Development, including leadership of complex, high-stakes enterprise engagements.
- Hands-on coding and debugging skills in Python, Java, or similar languages, with deep knowledge of REST APIs, object-oriented design, system architecture, and integration patterns.
- Experience partnering directly with enterprise executives on software deployments, live-data troubleshooting, and custom workflow integration.
- Experience abstracting durable product requirements from customer issues and influencing product roadmaps and engineering backlogs.
- Exceptional written and verbal technical communication skills, including communication of complex challenges to non-technical leaders.
- Ability to work through ambiguity and collaborate across Product, Engineering, Services, and Sales.
- Experience building LLM-powered or agentic systems, including tool and function calling, prompt and context engineering, retrieval-augmented generation, orchestration, evaluation, MCP servers, or A2A systems is preferred.
- Experience with Workday platform tools such as Workday Extend, Workday Orchestrate, or Workday Integrations, and knowledge of Workday business processes, security, permissions, tenant configuration, and governance is preferred.
- Experience designing agent evaluations, observability, guardrails, prompt-injection protections, tool-misuse protections, and least-privilege access is preferred.
- Experience building developer tools, SDKs, or platforms and contributions to open-source or community projects are preferred.
- Willingness and ability to travel up to 20% to customer sites.
Benefits
- Annualized base salary is listed as $206,400-$309,600 for Pleasanton, California, and $173,300-$309,600 for additional U.S. locations; the role may also be eligible for a bonus or commission and annual refresh stock grants.
- Flex Work combines remote and in-person work, with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners.
- The role typically guides customer engagements through standard six-month deployment cycles.
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.