Senior AI Agent Engineering Leader

Workday, Inc.

Pleasanton (CA)

Hybrid

USD 255,000 - 383,000

Full time

3 days ago
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Job summary

Workday, Inc. is seeking a Senior Manager or Director of AI Agent Engineering to lead the development of AI agents for HR and Finance.

You will mentor a high-performing team, drive technical excellence, and ensure scalable, secure AI solutions that integrate with the Workday ecosystem to deliver outstanding customer experiences. You will work with product managers, data scientists, and engineers to translate business needs into robust AI architectures, while upholding data privacy and compliance

Qualifications

  • 5+ years of experience in software engineering leadership with a focus on AI/ML and cloud-based systems.
  • 5+ years of experience with design and development for mission critical systems at scale.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven ability to hire top performers to build AI-powered products.
  • Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.

Responsibilities

  • Build, lead, and mentor a team of AI agent engineers.
  • Ensure timely delivery of high-quality AI agent solutions.
  • Collaborate with product managers, data scientists, and stakeholders to translate requirements.
  • Ensure seamless integration with the Workday platform.
  • Foster culture of innovation and continuous learning.
  • Evaluate cutting-edge AI tech (LLMs, RAG, orchestration).
  • Collaborate with external vendors and open-source communities.

Skills

AI/ML leadership
Cloud-based systems
Mission critical systems

Education

Bachelor's or Master's degree in CS/Engineering

Job description

Workday, Inc. is seeking a Senior Manager or Director of AI Agent Engineering to lead the development of AI agents for HR and Finance.

You will mentor a high-performing team, drive technical excellence, and ensure scalable, secure AI solutions that integrate with the Workday ecosystem to deliver outstanding customer experiences. You will work with product managers, data scientists, and engineers to translate business needs into robust AI architectures, while upholding data privacy and compliance

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