With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.
Your key responsibilities
· Partner with Business and Strategy Leads to translate business needs into executable AI workflows, data pipelines, and client-specific product specifications.
· Define the end-to-end architecture for agents that integrate LLMs, retrieval-augmented generation (RAG), multi-source data ingestion, and analytics components.
· Lead model selection, feature design, embedding strategy, and prompt frameworks (e.g., LangChain, LlamaIndex).
· Design and build robust data pipelines that are scalable, reproducible, and versioned.
· Collaborate with Data Engineering and DevOps on pipeline integration, data normalization, and system deployment.
· Set coding standards and mentor junior engineers; perform model/code reviews and LOE, scope and roadmap refinement.
· Own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, or embedded agents).
To qualify for the role, you must have
· A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 8 years of related work experience; or a graduate degree and approximately 7 years of related work experience.
· Full-time, hands-on experience applying AI/ML to solve real-world problems.
· Familiarity with multi-modal agent frameworks (LangChain, Haystack, RAG pipelines).
· Expertise in vector databases (e.g., Pinecone, Weaviate, Chroma), retrieval systems, and LLM fine-tuning.
· Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
· Strong understanding of ML workflow including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictions.
· Fluency in Python, PyTorch or TensorFlow, with ability to architect APIs around ML models.
· Proven experience designing, building, and maintaining ML models, frameworks, and pipelines.
· Experience working with and/or leading cross-functional business/engineering teams to deliver complex solutions.
· Excellent communication skills, with the ability to convey complex, technical concepts and progress, methodologies, solutioning, and results to business and client stakeholders.
· The ability and willingness to travel and work in excess of standard hours when necessary.
Ideally, you’ll also have
· Experience building and deploying AI/ML products or features in a production environment.
· Experience working in a startup and/or management/strategy consulting.
· Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
· Collaborative, problem-solving, and growth-oriented mindset.
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. Learn .
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