Role Description

Design and lead enterprisescale Generative AI solutions aligned with business and technology strategies

Architect endtoend AI platforms leveraging Large Language Models LLMs Agentic AI and RetrievalAugmented Generation RAG

Develop scalable AI applications and services using Python and up-to-date AI frameworks

Define architecture standards best practices and governance for GenAI implementations

Lead the design of multiagent systems using LangChain LangGraph Semantic Kernel and AutoGen

Architect vector database solutions and enterprise knowledge retrieval platforms

Drive solution design workshops with business stakeholders product owners and technology teams

Evaluate and select appropriate foundation models including GPT Llama Claude Gemini and Mistral

Design scalable prompt engineering and model orchestration frameworks for enterprise applications

Build secure and compliant AI solutions following Responsible AI principles and governance guidelines

Create reusable AI accelerators frameworks and architecture blueprints

Define API microservices and integration architectures using Python FastAPI and cloudnative technologies

Lead cloudbased AI deployments on Azure AWS or GCP platforms

Architect MLOps and LLMOps pipelines for model lifecycle management and continuous delivery





Establish monitoring observability evaluation and performance optimization frameworks for GenAI solutions

Guide teams in implementing advanced RAG Graph RAG Hybrid RAG and knowledge graph architectures

Collaborate with data engineering teams to design scalable data pipelines for AI workloads

Drive architecture reviews technical governance and solution assurance activities

Conduct PoCs and innovation initiatives to assess emerging AI technologies and frameworks

Mentor architects technical leads and engineers on GenAI architecture and Python development best practices

Define enterprise security privacy compliance and risk mitigation strategies for AI platforms

Support presales activities technical proposals solution estimation and customer presentations

Provide thought leadership in AI transformation initiatives and enterprise modernization programs

Stay current with advancements in GenAI multimodal AI AI agents and foundation models

Required Skills Python Generative AI Agentic AI LLMs RAG LangChain LangGraph Semantic Kernel AutoGen Vector Databases Azure OpenAI AI Foundry MLOps LLMOps Docker Kubernetes REST APIs CICD and Cloud Architecture

Skills: Docker, Kubernetes, Cicd, Rest Apis, Cloud Architecture, MLops, Azure, Python

Experience: 0.00-0.00 Years

📌 Principal - Architecture (Pune)
🏢 Cvali
📍 Pune