EY - GDS Consulting - AIA - Gen AI - Manager
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Job Description
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
- B.Tech/M.Tech/MS 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.