Senior AI Engineer - Enterprise Agent Orchestration

Workday, Inc.; Atlanta, Northern (GA, KY); Hybrid; USD 228,000 - 342,000; Full time

Job summary

Workday, Inc. in Atlanta is seeking a Principal/Senior AI Engineer to lead end-to-end design and integration of agent-based systems within Workday’s Agent Factory.

You will help connect the brain to the product, shaping orchestration across multi-agent frameworks, RAG pipelines, and enterprise workflows, focusing on reliability and scalable value. You will mentor teammates, own architecture decisions, and implement governance for sensitive HR and financial data, ensuring responsible AI

Qualifications

• 10+ years of professional software engineering with distributed systems, cloud computing, and API design, plus 2+ years on production-grade LLM/agent systems or 7+ years in ML/AI with 3+ years shipping LLM-backed products.
• 3+ years of hands-on experience integrating large models and AI APIs into enterprise products.
• 2+ years designing and scaling AI orchestration architectures including multi-agent frameworks and advanced RAG pipelines.

Responsibilities

• Lead end-to-end system design, implementation, and product integration for a core domain of Workday’s next-gen intelligent agents.
• Architect and orchestrate complex agentic workflows and ensure production-grade, scalable software integration.
• Implement governance for data privacy, security, and explainability within a high-trust AI pod.

Skills

Distributed systems

Cloud computing

API design

LLM integration

Agent orchestration

Performance optimization

AWS/GCP

Education

Bachelor's degree in Computer Science

Master’s preferred

Tools

LLM APIs

RAG pipelines

Multi-agent frameworks

Python

Go

Job description

Workday, Inc. in Atlanta is seeking a Principal/Senior AI Engineer to lead end-to-end design and integration of agent-based systems within Workday’s Agent Factory.

You will help connect the brain to the product, shaping orchestration across multi-agent frameworks, RAG pipelines, and enterprise workflows, focusing on reliability and scalable value. You will mentor teammates, own architecture decisions, and implement governance for sensitive HR and financial data, ensuring responsible AI