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.
Experience: 3 to 6 years (with strong recent AI/LLM experience)
Role Overview
We are seeking a Senior Software Engineer with strong expertise in Agentic AI systems to design, build, and scale intelligent, autonomous AI solutions. The ideal candidate will combine deep software engineering fundamentals with hands on experience in agent orchestration, model context management, and modern AI frameworks, while maintaining strong design thinking and logical problem solving skills.
You will play a key role in developing AI agents that reason, plan, collaborate, and execute tasks across enterprise systems using Python, Agentic AI frameworks, MCP (Model Context Protocol), and low code platforms.
Key Responsibilities
- Design, develop, and deploy Agentic AI systems capable of reasoning, planning, tool usage, and multi agent collaboration in Microsoft Azure
- Implement Model Context Protocol (MCP)–based architectures for secure and scalable tool/function orchestration
- Build robust backend services and APIs using Python following strong OOPS and software design principles
- Integrate AI agents with enterprise systems, databases, APIs, and low code platforms
- Design clean, modular, and extensible architectures with high reusability and maintainability
- Optimize agent workflows for performance, reliability, and contextual accuracy
- Collaborate with architects, product teams, and business stakeholders to translate requirements into AI driven solutions
- Stay updated with emerging trends in LLMs, Agentic AI, and AI tooling ecosystems
Required Skills & Qualifications
Core Technical Skills
- Expert level Python development for backend and AI applications
- Strong understanding and practical experience with Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, etc.)
- Solid experience implementing or working with Model Context Protocol (MCP) or similar tool calling / agent tool orchestration patterns
- Excellent grasp of Object Oriented Programming (OOPS) concepts and design patterns
- Experience integrating AI solutions with low code / no code platforms (e.g., Power Apps, Copilot Studio)
- Strong logical thinking and problem solving abilities
Design & Engineering Excellence
- Proven ability to produce clean, well structured, and scalable designs
- Strong understanding of system design, modularity, and separation of concerns
- Experience with REST APIs, async processing, and event driven architectures
- Familiarity with version control, CI/CD, and code quality practices
Good to Have
- Experience with enterprise AI deployments, governance, and security considerations
- Knowledge of LLMs, prompt engineering, RAG, embeddings, and vector databases
- Exposure to cloud platforms (Azure )
- Experience building AI copilots or virtual agents for business workflows
- Understanding of observability, logging, and monitoring for AI systems
What We’re Looking For
- A strong engineer mindset with a balance of pragmatism and innovation
- Passion for AI first architecture and design thinking
- Ability to own solutions end to end—from design to deployment
- Clear communication skills and a collaborative attitude
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.
