Principal Software Engineer (gen Ai)

Workday

Boulder, CO, USA
Primary location base pyy range: $200,600 usd - $3...
Fully remote
Ai agents for business processes
Integrate agentic capabilities
Python for ml/ai libraries
As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions

Job Summary

  • As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions.
  • Your work will directly impact thousands of global enterprises and millions of end users, leading the full AI development lifecycle from problem framing to continuous improvement.
  • Workday offers a flexible work approach combining in-person and remote work, with a focus on deepening connections and doing their best work, supported by a company invested in long-term growth.

Matching Summary

As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions.

Salary

Primary Location Base Pay Range: $200,600 USD - $301,000 USD; Additional US Location(s) Base Pay Range: $190,600 USD - $342,000 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants

Skills & Requirements

Must-have

  • AI agents for business processes
  • Integrate agentic capabilities
  • Python for ML/AI libraries
  • Object-oriented programming with Java
  • SaaS software development
  • Large language models (LLM)
  • Retrieval augmented generation (RAG)

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Empathy and shared enthusiasm
  • Bold thinkers with product mindset
  • Continuous innovation
  • Test automation and performance engineering

Key Requirements

  • 4+ years data science/ML/software development
  • 4+ years Python with ML/AI libraries
  • 4+ years Java OOP
  • 5+ years SaaS development
  • Bachelor's degree in relevant field
  • Cloud computing platforms experience
  • Containerization technologies experience

Work Rights

Not specified

Tailored Resume

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