Senior Manager, Machine Learning Engineering

Workday

Pleasanton, CA, USA
Primary location base pyy range: $232,000 usd - $3...
Fully remote
Ai/ml and cloud-based systems leadership
Design and development for mission critical systems
Llms, ai agents, rag, orchestration frameworks
You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions

Job Summary

  • You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions.
  • Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph).
  • The annualized base salary ranges for the primary location and any additional locations are listed below.

Matching Summary

You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions.

Salary

Primary Location Base Pay Range: $232,000 USD - $348,000 USD; Additional US Location(s) Base Pay Range: $192,300 USD - $348,000 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants.

Skills & Requirements

Must-have

  • AI/ML and cloud-based systems leadership
  • design and development for mission critical systems
  • LLMs, AI agents, RAG, orchestration frameworks
  • enterprise-grade AI architectures
  • API integration and large-scale automation
  • data privacy, security, and compliance standards

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • empathy and shared enthusiasm
  • trust to take risks
  • support of a company invested in you

Key Requirements

  • 5+ years software engineering leadership
  • 10+ years mission critical systems design
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Experience with the Workday platform is a strong plus

Work Rights

Not specified

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