EY GDS Consulting AIA Gen AI Manager

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Generative & Agentic AI Manager

Role Summary

As a senior Generative & Agentic AI Engineer with 8 years of experience you will lead the design development and deployment of advanced GenAI capabilities and agentic AI workflows. Your role will involve architecting scalable solutions grounded in NLP and Transformer modelsincluding RAG systems and multi-agent orchestrationwhile ensuring safety observability and cost efficiency across enterprise environments. You will mentor teams define best practices and drive innovation in AI engineering on cloud platforms (AWS/Azure).

Key Responsibilities

• Lead the architecture and implementation of GenAI services with robust prompt/tool use function calling and workflow orchestration; enforce caching retries and token/cost controls.
• Design and optimize RAG pipelines (indexing chunking embeddings rerankers) and evaluate retrieval/answer quality; advance to complex agentic patterns (multi-tool multi-step multi-agent).
• Apply advanced NLP/Transformer techniques (fine-tuning adapters/LoRA distillation) aligned with business and data constraints.
• Engineer production-grade Python services/APIs; integrate vector stores (FAISS Pinecone) LangChain/LlamaIndex streaming and guardrails.
• Ensure operational excellence on AWS/Azure with observability security and governance frameworks.
• Mentor junior engineers establish coding standards and lead technical reviews to maintain high-quality deliverables.

Must Have Skills

• Deep expertise in GenAI foundations (LLMs embeddings prompting).
• Proficiency with Transformer architectures (Hugging Face ecosystem fine-tuning strategies).
• Advanced NLP applied skills (text processing evaluation metrics).
• Hands-on experience with RAG and agentic AI design and implementation.
• Strong Python development skills and cloud experience (AWS/Azure).
• API development for model-backed experiences and enterprise integration.

Qualifications & Experience

• in Computer Science Electrical Engineering or equivalent.
• 8 years in AI/ML engineering with at least 5 years in GenAI/NLP/Transformer-based solutions.
• Proven track record of leading AI projects and mentoring engineering teams.

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