Ai Engineering Solution Lead
Solid hands-on AI Engineering Solution Lead – not just a hands-on engineer but to also partner with client in providing thoughtful input on the possibilities for enhancing and expanding platform monitoring and SRE capabilities.
Key Responsibilities:
Architect enterprise RAG solutions supporting large-scale knowledge retrieval and GenAI applications.
Design retrieval frameworks including ingestion, chunking, embeddings, indexing, semantic search, reranking, and grounding.
Establish enterprise patterns for vector search, hybrid retrieval, knowledge graphs, and AI-ready content platforms.
Define evaluation frameworks to improve retrieval quality and response accuracy.
Design and govern enterprise Agentic AI architectures.
Build autonomous and human-in-the-loop workflows using tool integration, planning, reasoning, and orchestration frameworks.
Lead development of single-agent and multi-agent systems for complex business processes.
Establish standards for agent memory, context management, state handling, and agent observability.




Define architecture for enterprise AI platforms, gateways, model orchestration, and shared AI services.
Drive LLMOps practices including deployment automation, monitoring, evaluation, governance, and lifecycle management.

Required Qualifications:
Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, Engineering, Data Science, or related field.
12+ years of experience in AI, Machine Learning, Software Engineering, AI Platforms, or related disciplines.
5+ years of hands-on experience delivering Generative AI and LLM-based solutions in production settings.
Proven experience leading complex enterprise GenAI and Agentic AI initiatives.
Hands-on experience with RAG architectures, semantic retrieval, vector search, and enterprise knowledge systems.
Experience building AI platforms, AI gateways, orchestration layers, and shared GenAI services.
Experience imp

📌 Ai Engineering Solution Lead Hyderabad
🏢 HCL INDIA
📍 Hyderabad