Lead AI Engineer
About The Position
This role seeks an established AI engineering subject-matter expert who applies deep domain and technical expertise to drive critical business outcomes. In this role, you will lead the design and deployment of complex, production‑grade agentic systems—particularly multi‑agent, multi‑tool solutions that automate and enhance how the Services business operates. You will be responsible to build intelligent agents capable of reasoning, planning, and safely invoking tools; managing memory; and continuously improving through systematic evaluation and feedback. The Data & Productivity Engineering (D&PE) organization builds the data infrastructure, automation, and AI solutions that enable data‑driven decision‑making and scalable, efficient business processes across the Services division. Within D&PE, the AI Solutions team focuses specifically on improving productivity and employee experience by combining modern AI capabilities with existing and emerging data assets and platforms.
Requirements
- Hands‑on experience designing multi‑agent systems, goal decomposition and planning, tool and function calling, context engineering, harness design, memory and retrieval patterns, evaluations, etc.
- Practical experience with platforms such as Copilot Studio, Azure AI Foundry, Salesforce Agentforce, and Microsoft Power Platform.
- Strong background in scalable deployment architectures, high‑availability runtime design, failure handling, and overall operational excellence.
- Proven ability to collaborate with platform, security, governance, and business stakeholders; clearly communicate trade‑offs; and drive adoption of shared standards and best practices.
- Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable guidance for diverse audiences.
Responsibilities
- Design, develop, and operate high‑impact AI solutions that address complex business problems while improving productivity, efficiency, employee experience, and cost outcomes across the Services organization.
- Deeply understand requestor needs, impacted personas, underlying business processes, and jobs‑to‑be‑done to recommend the most effective solution approach.
- Evaluate whether a given request is best addressed through agentic AI, process redesign, tactical automation, or improved documentation and governance.
- Define and enforce safe, scalable tool‑use patterns for agentic systems, including structured outputs, robust error handling, permissioning and auditability, guardrails, and appropriate human‑in‑the‑loop (HITL) approval workflows for sensitive actions.
- Own production observability and operational readiness for agentic solutions, including trace capture, cost and token telemetry, latency and reliability monitoring, and incident response for agent failures.
- Drive continuous improvement in system effectiveness, safety, and efficiency by defining clear success metrics such as task success rate, human intervention rate, policy violations, cost per task, and latency, and expanding evaluation coverage over time.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
