Specialist, Automation Architect

Merck Merck · Pharma · Telangana, India

This role is part of an automation engineering team focused on building scalable and efficient solutions for the Enterprise Architect organization using Python and AI technologies. The individual will support the development of automation workflows and assist in implementing AI-driven solutions in a cloud environment, primarily AWS. Responsibilities include coding, testing, and maintaining automation solutions while collaborating with team members on assigned tasks. The role is ideal for candidates with 3–7 years of experience who are eager to learn, contribute to team deliverables, and grow in automation and AI space.

What you'd actually do

  1. Design, build, and maintain tools, content, and capabilities for the Enterprise Architecture organization
  2. Write high‑quality, maintainable code and apply engineering best practices across the team
  3. Work effectively within the work group or project team, explaining difficult issues and building alignment around complex situations
  4. Act as a technical resource within the work group or project team
  5. Demonstrate effective use of technology to complete assignments, applying engineering best practices to adapt standard methods and techniques based on prior work experience and consulting others appropriately

Skills

Required

  • Python programming
  • SDLC
  • Prompt engineering
  • RAG systems
  • LLMs
  • Generative AI applications
  • Cloud services
  • Data pipelines
  • Databases
  • APIs
  • Modern engineering tooling
  • Software Development Lifecycle (SDLC) process
  • Complex automations
  • Analytical and problem-solving skills

Nice to have

  • AWS or other cloud providers
  • Agile environments
  • Containerization (Docker)
  • Orchestration tools
  • Prompt optimization
  • Evaluation frameworks for generative AI

What the JD emphasized

  • 3-7 years SDLC experience
  • Experience building modern AI/ML pipelines
  • Experience with prompt engineering
  • Experience with RAG systems, LLMs, and generative AI applications

Other signals

  • building scalable and efficient solutions
  • implementing AI-driven solutions
  • experience building modern AI/ML pipelines
  • experience with prompt engineering
  • experience with RAG systems, LLMs, and generative AI applications