Client Technology - Engineering AI Lead Engineer

EY; Pune District; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

EY is seeking an experienced Client Technology - Engineering AI Lead Engineer in Pune to drive cutting-edge AI initiatives. You will lead development of ML models, architect scalable AI systems, and supervise CI/CD, Docker, and NoSQL environments while mentoring junior engineers.

You will guide cross‑functional teams to deploy LLM-powered agents, optimize prompt strategies, and ensure responsible AI practices in production deployments.

Qualifications

• Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Data Science, Mathematics, or related field (preferred)
• Strong leadership skills with a track record of mentoring junior engineers
• In‑depth knowledge of cloud‑based solutions for AI deployment and scaling
• Experience with advanced testing strategies including A/B testing, unit tests, and integration tests
• Published research or contributions to open‑source machine learning projects
• Demonstrated experience building and deploying LLM‑powered AI agents in production environments
• Deep understanding of prompt engineering, LLM fine‑tuning, and responsible AI practices

Responsibilities

• Lead the development and optimization of sophisticated machine learning models
• Architect and implement scalable AI systems integrating various data sources
• Oversee the setup and management of CI/CD pipelines, Docker environments, and NoSQL databases
• Mentor and guide entry to mid-level engineers in best practices and new technologies
• Collaborate with cross‑functional teams to integrate AI solutions into business processes
• Design experiments using advanced scientific methods and validate results rigorously
• Lead the design, development, and deployment of AI agents powered by large language models (LLMs)
• Oversee prompt engineering strategies and ensure optimal LLM agent performance
• Integrate LLM‑based agents into enterprise applications and workflows
• Establish best practices for evaluating, monitoring, and improving LLM agent outputs

Skills

Leadership

Cloud deployment

ML model dev

RAG

Prompt engineering

LLM agents

Cross-functional

Testing strategies

Education

Master’s or Ph.D. in CS/Engineering/Data Science

Tools

Docker

NoSQL databases

CI/CD

Python

TensorFlow

PyTorch

Job description

Client Technology - Engineering AI Lead Engineer

Location: Pune

Other locations: Primary Location Only

Date: Oct 23, 2026

Requisition ID: 1692123

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

At EY, we’re all in shape for your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help build a better working world.

The opportunity

We are in search of an experienced AI engineer to lead our machine learning initiatives. This role requires expertise in developing cutting‑edge AI solutions, managing projects from inception to deployment, and mentoring junior engineers.

Your key responsibilities

• Lead the development and optimization of sophisticated machine learning models
• Architect and implement scalable AI systems integrating various data sources
• Oversee the setup and management of CI/CD pipelines, Docker environments, and NoSQL databases
• Mentor and guide entry to mid-level engineers in best practices and new technologies
• Collaborate with cross‑functional teams to integrate AI solutions into business processes
• Design experiments using advanced scientific methods and validate results rigorously
• Lead the design, development, and deployment of AI agents powered by large language models (LLMs)
• Oversee prompt engineering strategies and ensure optimal LLM agent performance
• Integrate LLM‑based agents into enterprise applications and workflows
• Establish best practices for evaluating, monitoring, and improving LLM agent outputs

Skills and attributes for success

• Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Data Science, Mathematics, or related field (preferred)
• Strong leadership skills with a track record of mentoring junior engineers
• In‑depth knowledge of cloud‑based solutions for AI deployment and scaling
• Experience with advanced testing strategies including A/B testing, unit tests, and integration tests
• Published research or contributions to open‑source machine learning projects
• Demonstrated experience building and deploying LLM‑powered AI agents in production environments
• Deep understanding of prompt engineering, LLM fine‑tuning, and responsible AI practices

Ideally, you’ll also

• Demonstrated ability to set up and manage Docker images, NoSQL databases, CI/CD systems
• Proven expertise in Retrieval Augmented Generation techniques and AI agent platforms
• Strong proficiency in Python and deep understanding of ML frameworks like TensorFlow, PyTorch, etc.
• Extensive experience designing and implementing complex machine learning models and combining ML models with agentic AI frameworks
• Expertise with advanced AI pair programming tools (e.g., GitHub Copilot, Cursor) in agent development
• Experience architecting solutions that combine LLMs with agentic frameworks and orchestration tools
• Familiarity with collaborative coding environments and advanced API integration for LLM agents
• Senior analyst‑level familiarity with statistics, classical statistical models, and optimization techniques
• Knowledgeable in risk management concepts as they relate to AI and machine learning applications

What we look for

We want people who are self‑stanners, who can take initiative and get things done. If you can think critically and creatively to solve problems, you will excel. You should be comfortable working with culturally diverse outsourced on/offshore team members, which means you may need to work outside of normal working hours in your time zone. Some travel may also be required.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.