Gen AI Architect

Job Title : Gen AI Architect

Experience : 8 – 12 Years

Work Mode : Work from Office (WFO)

Locations : Chennai | Bangalore | Hyderabad

Position Overview We are looking for an experienced GenAI Architect to lead the design and implementation of cutting-edge Generative AI solutions that drive innovation, scalability, and enterprise transformation.

This role demands deep expertise in LLM-based architectures , RAG (Retrieval-Augmented Generation) systems, agentic workflow orchestration , and MLOps deployment . The ideal candidate will combine strong hands-on technical skills with architectural vision, ensuring secure, compliant, and high-performance GenAI ecosystems.

Key Responsibilities

Generative AI (GenAI) Architecture

• Architect and design enterprise-grade LLM-based systems optimized for performance, scalability, and reliability.
• Demonstrate strong understanding of vector embeddings , similarity search (cosine / IP / L2), chunking strategies , and reranking .
• Build and optimize RAG pipelines — including indexing, metadata, hybrid search, and evaluator frameworks.
• Apply prompt engineering for tool use, function calling, and multi-agent planning.
• Develop and orchestrate agentic workflows using frameworks such as LangGraph or similar; integrate tools / services via MCP-compatible patterns .
• Implement NL2SQL approaches, ensuring SQL safety through schema constraints, sandboxes, and secure API integrations.
• Evaluate and balance trade-offs between generic LLMs and fine-tuned models , optimizing for accuracy, latency, and operational cost.
• Embed security, compliance, and data governance principles within all AI workflows, including RBAC / ABAC, auditability, and privacy controls.

MLOps & Deployment

Preferred Experience

Assessment Framework

Qualifications