Sr Engineering Manager, AI Enablement

Adobe Adobe · Enterprise · San Jose, CA

Senior Engineering Manager to lead a team building a central AI Platform focused on Agentic AI, MCP, and A2A frameworks. The role involves partnering with Product and Business leaders, building reusable AI capabilities, establishing standards, and leading a high-performing AI engineering team. Requires 10+ years of experience, including platform team leadership and experience with Generative AI platforms, Agentic AI systems, LLMs, RAG, and prompt orchestration.

What you'd actually do

  1. Lead the strategy and execution of a central AI Platform focused on Agentic AI, MCP, and A2A frameworks
  2. Partner with Product and Business leaders to translate priorities into scalable AI solutions and measurable outcomes
  3. Build reusable AI capabilities, orchestration frameworks, and developer platforms to drive adoption across teams
  4. Establish standards, governance, and guidelines for responsible and scalable AI development
  5. Hire, mentor, and lead a high-performing AI engineering team with a strong execution culture

Skills

Required

  • 10+ years of engineering experience
  • strong leadership in building platform teams
  • Proven experience in designing and delivering AI/ML or Generative AI platforms at scale
  • Deep understanding of Agentic AI systems, including orchestration, tool usage, memory, and multi-agent collaboration (A2A)
  • Experience with LLMs, RAG architectures, prompt orchestration, and evaluation frameworks
  • Familiarity with MCP or similar tool/agent integration frameworks and building reusable AI components
  • Strong system design skills across distributed systems, APIs, and scalable platform architectures
  • Hands-on experience with cloud environments (AWS/Azure/GCP) and modern data/AI infrastructure
  • Demonstrated ability to partner with Product and Business leaders to shape strategy and deliver outcomes
  • Strong execution perspective with a track record of taking ambiguous AI initiatives to production
  • Experience building and leading high-performing, fast-moving engineering teams
  • Ability to operate effectively in a matrix organization and influence without authority
  • Excellent communication and storytelling skills to align senior partners on AI strategy and investments
  • People & Delivery Leadership

Nice to have

  • Passion for staying at the forefront of AI innovation and applying it to real-world business problems

What the JD emphasized

  • strong leadership in building platform teams
  • designing and delivering AI/ML or Generative AI platforms at scale
  • Deep understanding of Agentic AI systems
  • Experience with LLMs, RAG architectures, prompt orchestration, and evaluation frameworks
  • taking ambiguous AI initiatives to production
  • building and leading high-performing, fast-moving engineering teams

Other signals

  • central AI Platform
  • Agentic AI
  • AI capabilities, orchestration frameworks, and developer platforms
  • taking ambiguous AI initiatives to production