Senior Manager, Gsf Genai & Agentic AI Tech Lead

Merck Merck · Pharma · Telangana, India

Senior Manager, GenAI & Agentic AI Tech Lead at Merck, responsible for driving the delivery and integration of GenAI and automation capabilities within Global Support Functions. This hands-on role involves technical solution design, architecture, writing production code, building and deploying services, and ensuring operational stability for end-to-end GenAI and agentic AI solutions. The role requires collaboration with various teams, continuous refinement of RAG architectures, design of agentic workflows, and implementation of testing and observability.

What you'd actually do

  1. Write efficient and maintainable production code following best practices in software engineering.
  2. Work with DevSecOps tools for deploying, versioning, and operating production services.
  3. Design end-to-end technical solutions for GenAI and agentic AI use cases, including architecture, system boundaries, data flows, APIs, failure modes, and operational considerations.
  4. Conduct innovation proof of concepts and pilots and industrialize successful outcomes into secure, scalable, production-ready solutions.
  5. Identify and promote reuse of modular components, patterns, and frameworks to improve delivery speed and consistency.

Skills

Required

  • Python
  • CI/CD pipelines
  • test-driven or test-first development practices
  • Restful APIs & backend services for AI models
  • cloud platforms (AWS/Microsoft/Google)

Nice to have

  • RPA
  • user-centric design
  • market research
  • agile methodologies

What the JD emphasized

  • hands-on lead developer role with explicit ownership of technical solution design and architecture
  • architecting & designing solutions, writing production code, building and deploying services
  • Success is defined by the ability to balance system-level design thinking with consistent, hands-on delivery
  • 8+ years of overall work experience with at least 3+ years of experience in engineering of AI/ML, RPA, or complex custom software solutions or products in an enterprise setting
  • Expert in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
  • Demonstrated success in launching and scaling enterprise AI solutions.

Other signals

  • delivering and integrating GenAI and automation capabilities
  • hands-on lead developer role with explicit ownership of technical solution design and architecture
  • architecting & designing solutions, writing production code, building and deploying services
  • Success is defined by the ability to balance system-level design thinking with consistent, hands-on delivery