Senior Engineering Director - Generative AI Platform

The Role :

We are seeking a visionary Director / Sr. Director of Engineering to spearhead our GenAI platform engineering at our India center. You will architect and lead the end-to-end delivery of production-grade GenAI systems spanning LLM integration, Retrieval-Augmented Generation (RAG) pipelines, autonomous AI agents, multimodal applications, and intelligent automation embedded directly into Fortune 500 client workflows.

Key Responsibilities :

• Architect and deliver enterprise-grade GenAI platforms RAG systems, LLM-powered agents, multimodal AI applications, and intelligent automation pipelines at Fortune 500 scale.

• Lead and mentor teams building production LLM pipelines using orchestration frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and DSPy.

• Own end-to-end model fine-tuning strategy including LoRA, QLoRA, RLHF, DPO, and instruction tuning along with prompt engineering best practices across diverse use cases.

• Design and operate LLM evaluation harnesses (RAGAS, DeepEval, LLM-as-judge) to ensure output quality, factuality, and safety at each release.

• Drive AI safety, responsible AI, and governance frameworks including hallucination mitigation, bias auditing, prompt injection defense, PII redaction, and regulatory compliance guardrails.

• Integrate GenAI solutions with enterprise data stacks vector databases, knowledge graphs, structured/unstructured sources for grounded, context-rich AI experiences.

• Champion LLMOps and MLOps practices: model versioning, observability, cost optimization, CI/CD for AI pipelines, and automated regression testing.

• Partner with global Fortune 500 clients to translate complex business problems into GenAI use cases, technical roadmaps, and measurable ROI.

• Stay at the cutting edge of foundation model releases, open-source LLMs (Llama, Mistral, Gemma, Phi), and emerging AI tooling to continuously enhance delivery.

• Build, inspire, and scale high-performing GenAI engineering teams across India and globally, fostering a culture of innovation, rigor, and rapid iteration.

Ideal Profile :

• 10+ years of engineering leadership; minimum 3 years hands-on building GenAI/LLM systems in production enterprise environments.

• Degree in Computer Science / Engineering from a top-tier institute (IIT / NIT / IISc preferred).

• Deep expertise in LLM orchestration frameworks: LangChain, LlamaIndex, CrewAI, AutoGen, DSPy, Haystack, or equivalent not just familiarity but shipped-to-production experience.

• Hands-on experience architecting RAG systems and working with vector databases: Pinecone, Weaviate, ChromaDB, Qdrant, pgvector, Milvus.