Mid/senior Software Engineer (gen Ai)

Workday

Boulder, CO, US
Base: $171,600 - $257,400 usd (primary location); ...
Fully remote
Ai/ml engineering with python and java
Production-grade ai solution development
Saas software development experience
Workday is a Fortune 500 company and leading AI platform shaping the future of work with a culture rooted in integrity, empathy, and shared enthusiasm

Job Summary

  • Workday is a Fortune 500 company and leading AI platform shaping the future of work with a culture rooted in integrity, empathy, and shared enthusiasm.
  • The AI/ML Engineer will lead the design and development of intelligent agentic workflows that transform financial planning for thousands of global enterprises.
  • The role offers trust to take risks, tools to grow, and support from a company invested in long-term employee development.

Matching Summary

Workday is a Fortune 500 company and leading AI platform shaping the future of work with a culture rooted in integrity, empathy, and shared enthusiasm.

Salary

Base: $171,600 - $257,400 USD (Primary location); $163,000 - $288,000 USD (Additional US locations); Bonus/Equity: Eligible for bonus and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • AI/ML engineering with Python and Java
  • Production-grade AI solution development
  • SaaS software development experience
  • Large language models and transformer networks
  • Cloud computing and containerization technologies
  • End-to-end AI development lifecycle
  • Mentorship and technical leadership

Nice-to-have

  • Curious and courageous collaborator
  • Empathy and integrity-driven culture
  • Focus on continuous innovation
  • Flexible hybrid work environment
  • Strong product mindset
  • Test automation and performance engineering

Key Requirements

  • 4+ years data science or ML software development
  • 4+ years Python with ML/AI libraries experience
  • 4+ years Java object-oriented programming
  • 5+ years SaaS software development
  • Bachelor's degree in Computer Science or related field
  • Experience with LLMs, RAG systems, semantic search
  • Experience with cloud platforms (AWS, GCP) and Docker
  • Experience deploying ML solutions on large-scale datasets

Work Rights

Not specified

Tailored Resume

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