AI Software Engineering - Consulting

Prompt engineering expertise

As 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. Senior Lead - AI Engineering
in the Platforms and Products will…
We are seeking a highly motivated Applied AI Engineer with a strong foundation in Machine Learning and a deep interest in Large Language Models (LLMs) and Generative AI . This role focuses on building, optimizing, and evaluating production-grade LLM systems , including Retrieval-Augmented Generation (RAG) , fine-tuning workflows, and scalable inference pipelines.
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).
Conduct LLM evaluation using automated and human-in-the-loop techniques (offline + online).
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.
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
• Experienced in backend API design with FastAPI, async patterns, rate limiting

Hybrid search implementations
Strong programming expertise in Python is must including:
Async programming (asyncio, async/await)
Experience in ML Ops to measure and track model performance including:
Model versioning and A/B testing
Experience in working with NLP & computer vision
Fluency in English
Milestone training programs aligned to career progression opportunities
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. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
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. 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.