Sr Engineering Manager - Agentic Ai, Adobe Express

Adobe Adobe · Enterprise · Bangalore, India

Engineering Manager to lead a team building and operating the agentic AI foundation for Adobe Express, focusing on AI assistants, agentic workflows, and scaling LLM-based features for millions of users. The role requires deep understanding of how LLMs are integrated into complex systems, driving technical direction, and managing end-to-end delivery.

What you'd actually do

  1. Lead, grow, and develop a team of strong engineers by attracting top talent, mentoring through change, and crafting the conditions for great work.
  2. Drive the technical direction for the AI framework underpinning every AI experience in Adobe Express.
  3. Own delivery end-to-end, architecture choices, execution risk, dependencies, and clear signal to senior leadership on what matters.
  4. Partner closely with product, research, and development to turn ambitious AI ideas into systems that actually scale.
  5. Stay ahead of where the field is going with new models, new patterns, new evaluation methods and translate that into product impact.

Skills

Required

  • Leadership experience
  • Experience building AI-powered features on top of LLMs
  • Experience with prompt pipelines
  • Experience with tool calling
  • Experience with RAG
  • Experience with agent orchestration frameworks
  • Understanding of scaling AI systems
  • Deep understanding of LLM integration
  • Defining success metrics for AI adoption
  • Crafting governance practices for AI
  • Enabling scalable AI usage
  • Strong technical depth
  • Analytical instincts
  • Experience leading in diverse, global, collaborative environments

Nice to have

  • Experience with fine-tuning models

What the JD emphasized

  • 12+ years in software engineering, with 4+ years leading engineering teams through real product delivery
  • Hands-on experience building AI-powered features on top of LLMs
  • you have worked with prompt pipelines, tool calling, RAG, or agent orchestration frameworks
  • understand what it takes to move from prototype to production at scale
  • You deeply understand how models are wired together into something that works
  • A track record of driving AI adoption beyond a single team
  • defining success metrics
  • crafting governance practices
  • enabling safe, scalable usage across an organization

Other signals

  • leading a team that builds and operates agentic foundation inside a flagship product
  • building AI assistants and agentic workflows on top of LLMs
  • understanding what breaks at scale
  • turning a promising prototype into something millions of people actually use
  • driving the technical direction for the AI framework underpinning every AI experience