GenAI Lead

Location: Hyderabad

Level: Lead

Role Summary

As the Gen AI Lead, you will spearhead our organization’s Generative AI strategy, moving beyond simple API integrations to build sophisticated, production-grade AI systems. You will lead a cross-functional team of engineers and data scientists to architect Agentic AI frameworks, optimize RAG (Retrieval-Augmented Generation) pipelines, and ensure our AI solutions are ethical, scalable, and secure

Key Responsibilities

· Architecture & Design: Lead the design of multi-agent systems using frameworks like LangChain, AutoGen, or Semantic Kernel.

· Model Engineering: Oversee the fine-tuning of Large Language Models (LLMs) and Small Language Models (SLMs) using techniques like LoRA/QLoRA for domain-specific accuracy.

· LLMOps & Scalability: Establish robust deployment pipelines (CI/CD for AI), ensuring model monitoring, versioning, and cost-efficient scaling in the cloud (AWS/Azure/GCP).

· Governance & Ethics: Implement "Responsible AI" guardrails to mitigate hallucinations, bias, and data leakage, ensuring compliance with emerging AI regulations.

· Cross-Functional Leadership: Act as the primary technical SME for executive stakeholders, translating "AI hype" into measurable ROI and business outcomes.

Required Technical Skills

· Core AI: Deep expertise in Transformer architectures, Diffusion models, and Vector Databases (e.g., Pinecone, Chroma, Milvus).

· Programming: Mastery of Python and frameworks like PyTorch or TensorFlow.

· Agentic Frameworks: Hands-on experience building autonomous agents and complex multi-step workflows.

· Data & RAG: Expert-level knowledge of chunking strategies, embedding models, and hybrid search techniques.

· Cloud & Infrastructure: Proficiency with Kubernetes, Docker, and AI-specific cloud services (e.g., Azure AI Foundry, AWS Bedrock, Google Vertex AI).