Build, lead, and mentor a team of exceptional AI agent engineers
Ensure timely project delivery to exceptional standards of our AI agents
Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
Foster a culture of innovation, collaboration and continuous improvement and learning
Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
Ensure all AI solutions adhere to data privacy, security, and compliance standards
Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.

Requirements

5+ years of experience in software engineering leadership, with a strong focus on AI/ML and cloud-based systems
10+ 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 seek out and hire the highest performing professionals to build cutting edge products built on AI
Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks
Experience with enterprise-grade AI architectures, API integration, and large-scale automation
Strong problem-solving, communication, and collaboration skills
Experience with the Workday platform is a strong plus.

Benefits

Workday Bonus Plan
Role-specific commission/bonus
Annual refresh stock grants
Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI agent engineeringAI/MLcloud-based systemsLLMsRAGorchestration frameworksAPI integrationenterprise-grade AI architectureslarge-scale automationsoftware engineering

Soft skills

leadershipmentoringcollaborationcommunicationproblem-solvinginnovationcontinuous improvementteam buildingstakeholder engagementproject management

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Engineering