Senior GenAI Engineer

EY

Mumbai

On-site

INR 1,800,000 - 4,200,000

Full time

11 days ago

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Job summary

EY is seeking a Senior Consultant for FS-Business Consulting Risk-Gen AI Engineer in Pune. The role focuses on GenAI, LLMs, RAG, and AI-powered risk solutions across enterprise risk and technology risk domains.

You will work with teams to design, build, and deploy AI-enabled solutions that enhance risk management and compliance workflows. The ideal candidate brings hands-on GenAI experience, strong Python skills, and familiarity with cloud AI platforms.

Qualifications

  • Hands-on experience building AI powered solutions with LLMs and GenAI.

Responsibilities

  • Collaborate with cross-functional teams to design and deliver GenAI solutions for enterprise risk and governance domains.
  • Develop scalable, production-grade AI applications and deployment pipelines.
  • Drive AI-enabled decision making and automation for client projects.

Skills

Generative AI
Python
LLMs
RAG
Prompt engineering
API development
Embeddings
fine-tuning
Semantic search
Enterprise integration

Tools

Pinecone
ChromaDB
FAISS
Milvus
LangChain
LangGraph
CrewAI
AutoGen
Semantic Kernel
Docker
Kubernetes

Job description

Job Summary

The opportunity: Senior Consultant-FS-Business Consulting Risk-Gen AI Engineer- FSRM - Pune

Domain and Focus
  • Enterprise Risk - helps clients identify and address key risk areas, while building the agility to respond quickly. The areas of focus include Enterprise risk and resilience, Internal audit, Compliance and Internal controls.
  • Technology Risk - helps clients to achieve sustainable growth by supporting their efforts to protect their business performance and by providing trusted communications on internal control and regulatory compliance to investors, management, regulators, customers and other stakeholders. EY teams accomplish this by assessing the technology risks that are introduced to businesses.
  • Financial Services Risk - helps clients in the financial sector to identify, manage and monitor the risks in their business. It is done through a transformative and agile approach including process and procedures, risk, data modeling and analytics, reporting to stakeholders and third parties, business requirements (for software selection and IT implementation), analysis of assets and liabilities, and capital and liquidity management.
Your key responsibilities Technical Excellence

We are seeking an experienced Generative AI Engineer / LLM Engineer with 5+ years of experience in designing and developing AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and Python. The ideal candidate should have hands-on expertise in building and deploying applications using GPT, Claude, Gemini, Llama or similar models, developing RAG pipelines with vector databases such as Pinecone, ChromaDB, FAISS, or Milvus, and implementing Agentic AI solutions using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel. Strong proficiency in Python, API development, prompt engineering, embeddings, fine-tuning, semantic search, and integrating AI solutions with enterprise applications is required. Experience with cloud platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI, along with knowledge of MLOps, Docker, Kubernetes, and LLMOps tools, will be an added advantage. The role involves collaborating with cross-functional teams to build scalable, production-grade GenAI solutions that drive business value through intelligent automation and AI-driven decision-making.

Experience
  • Gen AI Engineer(5+ years)
What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

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