Client Technology- AI Researcher
EY
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.
CT - AI Researcher
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.
The opportunity
We are seeking a highly motivated Applied AI Researcher to join our team. The ideal candidate will evaluate and experiment with emerging AI technologies, developing Proofs of Concept (POCs) utilizing cutting-edge AI and Generative AI (GenAI) technologies, including agentic AI.
Your key responsibilities
- Stay up to date on the state-of-the-art in large language models and agentic approaches.
- Evaluate and experiment with emerging AI technologies to identify potential applications and innovations.
- Develop and implement Proofs of Concept (POCs) using Generative AI and agentic AI technologies with advanced AI frameworks, including AutoGen and LangGraph.
- Research advanced retrieval augmented generation methodologies
- Collaborate with cross-functional teams to propose improved AI methods and solutions for implementing into existing products and platforms
- Write internal white papers as well as research papers for submission into premier AI conferences and workshops.
Skills and attributes for success
- Master’s degree /Ph.D. in a relevant field (Computer Science, Data Science, Artificial Intelligence, etc.).
- 3+ years of experience in AI and machine learning
- Deep technical expertise in Generative AI and agent frameworks such as AutoGen and LangGraph with an ability to quickly develop AI prototypes.
- Experience building multi-agent systems using LangChain/LangGraph and familiarity with observability tools like LangSmith.
- Solid understanding of basic and advanced Retrieval-Augmented Generation (RAG) techniques.
- Strong programming skills in Python as well as knowledge of frameworks like TensorFlow, PyTorch is required
- Preferred experience with fine-tuning Small Language Models (SLMs).
- Drive to solve customers’ problems using technical creativity and hard work
- Ability to communicate technical matters clearly and effectively to both technical and non-technical audience
- Critical thinker with excellent judgment and strong initiative
Education
- B.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred
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.