Forward Deployed Engineer (FDE), Software Development

What you'll be doing

  • Architect, deploy, configure, and debug AI agents and integrations in complex live enterprise environments.
  • Lead technical discovery sessions with senior customer leaders to translate business requirements into product configurations, POCs, and integration specs.
  • Synthesize field telemetry and recurring issues into insights that influence the product roadmap and engineering backlog.
  • Identify patterns across engagements and help turn custom fixes into standardized, automated product capabilities.
  • Act as a trusted technical advisor to cross-functional teams and customer executives, ensuring focus on core product strengths.
  • Own strategically important or complex engagements end-to-end and mentor other Forward Deployed Engineers.

Requirements

  • 10+ years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, or Software Development with leadership of complex enterprise technical engagements.
  • Hands-on coding and debugging skills in languages like Python or Java, deep knowledge of REST APIs, object-oriented design, system architecture, and integration patterns.
  • Working knowledge of Workday’s business processes, security, permissions, tenant configuration, and integrations.
  • Willingness and ability to travel to customer sites as needed.

Nice to haves

  • Experience working directly with enterprise executives as a trusted technical advisor on complex deployments and custom workflow integration.
  • Strong product mindset with ability to abstract general product requirements from customer issues and influence product development.
  • Exceptional verbal and written technical communication skills, able to explain complex challenges to non-technical leadership.
  • Ability to thrive in fast-paced, ambiguous, and agile environments involving Product, Engineering, Services, and Sales teams.
  • Collaborative leadership style with experience mentoring engineers and facilitating multi-disciplinary teamwork.
  • Applied experience with LLM-powered or agentic AI systems, including prompt engineering, retrieval-augmented generation, evaluations, or orchestration frameworks.

Perks and benefits

  • Flexible work model combining in-person and remote work; minimum of 50% time per quarter spent in office or field.
  • Comprehensive benefits including eligibility for Workday Bonus Plan, role-specific commissions/bonuses, and annual stock refresh grants.
  • Commitment to reasonable accommodations for qualified individuals and inclusive, equal opportunity employment.
  • Supportive company culture rooted in integrity, empathy, and shared enthusiasm.
AI Summary ✨

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