Senior Lead - AI Engineering

About the role

ZS is a management consulting and technology firm focused on improving life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide.

What you'll do

• Design and implement LLM-powered applications using state-of-the-art transformer models
• Build and optimize RAG pipelines using embeddings, chunking strategies, and vector search
• Experiment with prompt engineering, structured outputs (JSON schemas/function calling), and tool-augmented LLMs (agents/workflows)
• Fine-tune models using techniques such as LoRA, PEFT, and instruction tuning
• Develop and evaluate embedding models for similarity search and semantic retrieval
• Conduct LLM evaluation using automated and human-in-the-loop techniques (offline + online)
• Optimize inference workflows for latency, GPU utilization, and cost efficiency (quantization, batching, caching)
• Build and maintain REST API Services (FastAPI etc.) to deploy LLM/RAG endpoints, integrate with product systems, and support scalable inference
• Contribute to integration of AI systems into production software environments (CI/CD, monitoring, reliability)
• Research and prototype cutting-edge approaches in Generative AI and share learnings with the team

What you'll bring

• A master's or bachelor's degree in Computer Science or related field from a top university
• 4+ years' hands-on experience in Machine Learning (ML) with production LLM systems
• Good fundamentals of machine learning, deep learning and fine tuning models (LLM) including:
  • Understanding of transformer architectures
  • Prompt engineering expertise
  • Embeddings and vector search
• Experienced in backend API design with FastAPI, async patterns, rate limiting
• Experience with vector DB including:
  • Pinecone, Weaviate, or Chroma
  • Embedding storage and similarity search
  • Hybrid search implementations
• Strong programming expertise in Python is must including:
  • Async programming (asyncio, async/await)
  • Type hints and Pydantic
  • SOLID principles and design patterns
• Experience in ML Ops to measure and track model performance including:
  • MLFlow for model tracking
  • Langfuse for LLM observability (strongly preferred)
  • Model versioning and A/B testing
• Experience in working with NLP & computer vision
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach

How you'll grow

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community.

Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Work Authorization

This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.