Job Description

:

GenAI Solution Architect

Academics : B.E / M.E only( Mandatory)

Experience : Overall, 10 to 13 years

Designation : GenAI Solution Architect

Job Location : Bangalore

Key skillset :

LLMs, Azure OpenAI GPT, Claude, LLaMA, Mistral, Gemini, Open-source LLMs, Multimodal models, Fine-tuning, Model deployment, Private LLM hosting

Notice period : Immediate to 15 days

Work mode : All 5 days' work from office at end client location

Interview mode : Virtual and face to face if required by end client

Core Responsibilities

Design and build advanced AI-driven systems utilizing LLMs (e.g., Azure OpenAI GPT Models, Claude, Llama, Mistral, Gemini, and open-source models) for tasks such as text understanding, generation, summarization, and contextual reasoning within engineering workflows. Architect and deploy agentic pipelines (multi-agent systems, autonomous LLM agents, chain-of-thought/reasoning systems) for process automation, decision support, and engineering knowledge orchestration. Develop and implement Advanced Retrieval-Augmented Generation (RAG) solutions - combining LLMs with vector databases, search engines, and enterprise knowledge sources for high-fidelity document analysis and Q&A. End-to-End automation of complex human-in-the-loop processes by chaining LLMs, expert systems, and external tools using orchestration frameworks (such as LangChain, LlamaIndex, Haystack, CrewAI, etc.). Evaluate, select, and integrate modern and emerging AI tools, APIs, and infrastructure (LLMOps, vector stores, document loaders, prompt management, agents frameworks, etc). Fine-tune, deploy, and monitor LLMs on private/in-house datasets to solve unique domain challenges and maintain compliance/privacy. Stay current with the fast-evolving AI landscape (open weights, small/efficient models, guardrails, synthetic data, evaluation techniques, multimodal models, etc.), and bring new approaches into the organization.

Preferred/Bonus:

Experience optimizing for model cost, latency, reliability, and scaling in production. Understanding of privacy, security, and compliance in LLM/AI applications (PII scrubbers, access controls, audit trails). Experience orchestrating multi-agent/agentic workflows (CrewAI, AutoGen, OpenAgents, etc.). Familiarity with CI/CD for AI pipelines, containerization (Docker), and cloud AI services (Azure ML, AWS Sagemaker, GCP Vertex).

EXPERTISE AND QUALIFICATIONS

LLMs, Azure OpenAI GPT, Claude, LLaMA, Mistral, Gemini, Open-source LLMs, Multimodal models, Fine-tuning, Model deployment, Private LLM hosting

Job Type: Full-time

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Work Location: In person