AI And Generative AI Senior Developer

EY; Thrippunithura; On-site; INR 700,000 - 1,200,000; Full time

Job summary

EY is seeking a Senior AI Engineer / Lead to design, build, and scale next-generation AI systems powered by LLMs, autonomous agents, and multi-agent architectures. You will drive architecture, mentor teams, and collaborate with stakeholders to identify AI-driven automation opportunities.

The role focuses on production-grade Agentic AI platforms, integrating LLMs with enterprise systems, APIs, and knowledge sources. Strong leadership and communication are essential.

Qualifications

• Master's degree in Computer Science, Artificial Intelligence, or related field.
• 5+ years of experience in Machine Learning and generative AI.
• 6+ years of experience in software development.

Responsibilities

• Design and implement enterprise-scale Agentic AI solutions leveraging LLMs, tools, memory, reasoning frameworks, and autonomous workflows.
• Architect Generative AI systems to solve complex business problems.
• Deploy AI Agents into production and monitor performance and reliability.
• Develop best practices for building, deploying, and managing AI systems.
• Mentor junior engineers and collaborate with cross-functional teams.

Skills

Agentic AI

LLMs

Software development

Mentorship

Communication

Education

Master's degree in CS/AI

Tools

OpenAI Agents SDK

Semantic Kernel

Azure OpenAI

LangGraph

Microsoft Copilot Studio

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Summary:

We are seeking a Senior AI Engineer / Lead to design, build, and scale next-generation AI systems powered by Large Language Models (LLMs), autonomous agents, and multi-agent architectures. The role will focus on developing intelligent AI agents capable of reasoning, planning, tool usage, workflow orchestration, and autonomous execution across enterprise business processes.

As a technical lead, you will drive the architecture and delivery of production-grade Agentic AI platforms, integrating LLMs with enterprise systems, knowledge sources, APIs, and decision frameworks. You will mentor engineering teams, establish AI engineering best practices, and collaborate with business stakeholders to identify high-value opportunities for AI-driven automation and augmentation.

Responsibilities:

• Design and implement enterprise-scale Agentic AI solutions leveraging LLMs, tools, memory, reasoning frameworks, and autonomous workflows.
• Architect Generative AI systems where to solve complex business problems.
• Work with other team members to implement and deploy AI Agents into production.
• Monitor and manage AI systems in production to ensure that they are meeting performance and reliability requirements.
• Develop and implement best practices for building,deploying,and managing AI systems.
• Stay up to date on the latest research and developments in AI and apply new knowledge to our work.
• Collaborate with other engineers,scientists,and product managers to develop and deliver innovative AI solutions.
• Mentor and guide junior engineers

Qualifications:

• Master's degree in Computer Science, Artificial Intelligence, or a related field.
• 5+ years of experience in Machine Learning and generative AI.
• 6+ years of experience in software development

Preferred Skills and Experience:

• Deep understanding of Agentic AI patterns including reasoning, planning, reflection, memory, tool use, and multi-agent collaboration.
• Experience building autonomous AI agents using frameworks such as:
  • Microsoft Agentic Framework
  • AutoGen
  • LangGraph
  • Semantic Kernel
  • CrewAI
  • OpenAI Agents SDK
  • Microsoft Copilot Studio
• Strong experience with modern LLM ecosystems including OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
• Experience with advanced RAG, GraphRAG, knowledge graphs, vector databases, and semantic search.
• Experience with Prompt Engineering and Machine Learning optimization
• Experience with deep learning models such as GANs, diffusion models, and transformers.
• Experience with Computer Vision and Natural Language Processing.
• Experience with Reinforcement Learning.
• Experience with distributed computing and scalable systems.
• Experience with DevOps and CI/CD.
• Experience with Machine Learning ethics
• Experience with AI applications in specific domains such as talent management, finance, or manufacturing
• Excellent communication and interpersonal skills.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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.