Senior Manager, AI Engineering and Agent Platform

Oracle Oracle · Enterprise · United States

Seeking a Senior Manager, AI Engineering and Agent Platform to build and lead a new team focused on applying AI, LLMs, and agent-based software engineering to accelerate analytics and reporting delivery, improve data reliability, and unlock new insight generation capabilities across Oracle Health's analytics ecosystem. The role involves designing and delivering production AI agents, agent tooling, semantic intelligence, and operational controls, while establishing engineering standards for production AI systems.

What you'd actually do

  1. Build and lead a new AI engineering team focused on AI agents, LLM-enabled workflow automation, semantic intelligence, and AI platform capabilities.
  2. Define and execute the roadmap for AI-powered solutions that accelerate analytics development, reporting, insight generation, and data reliability.
  3. Partner with analytics, data engineering, application engineering, product, and business stakeholders to identify high-value use cases and drive adoption.
  4. Establish engineering standards for production AI systems, including evaluation, release management, governance, observability, and human-in-the-loop controls.
  5. Lead hiring, organizational design, coaching, performance management, and technical direction for a multidisciplinary AI team.

Skills

Required

  • AI Engineering
  • LLMs
  • Agent-based software engineering
  • Production AI systems
  • Hiring and leading technical teams
  • Roadmap definition and execution
  • Scalable and secure solutions
  • Evaluation, release management, governance, observability, human-in-the-loop controls

Nice to have

  • Experience with analytics, data engineering, application engineering, product, and business stakeholders
  • Experience with data engineering agents, monitoring agents, metric design workflows, AI search, executive narrative generation, and insight discovery capabilities

What the JD emphasized

  • production AI agents
  • production AI systems
  • enterprise AI capabilities into production

Other signals

  • Build and lead a new AI engineering team
  • Define and execute the roadmap for AI-powered solutions
  • Establish engineering standards for production AI systems