Role Description

Design and architect enterprisescale Generative AI and Agentic AI solutions leveraging Azure Cloud and Databricks platforms

Lead the development of intelligent AI agents capable of autonomous reasoning planning tool usage and workflow execution

Build and operationalize advanced RAG Graph RAG and Hybrid RAG architectures for enterprise knowledge systems

Develop scalable LLMpowered applications using Azure OpenAI foundation models and opensource LLMs

Serve as the Databricks SME driving AI application development using Databricks Apps Lakehouse and Lakebase

Design endtoend AIML lifecycle management processes using MLflow for experiment tracking model governance and deployment

Architect multiagent frameworks and orchestrated AI solutions to automate complex business processes

Develop semantic search vector database and knowledge retrieval solutions for largescale enterprise environments

Lead model finetuning prompt engineering evaluation and optimization initiatives for productiongrade AI systems





Establish MLOps and AgentOps best practices for AI application deployment monitoring and maintenance

Design scalable cloudnative AI architectures ensuring high availability resiliency and security

Integrate AI solutions with enterprise applications APIs databases and digital transformation platforms

Define technical standards governance frameworks and reusable assets for GenAI adoption across programs

Drive performance optimization initiatives focusing on latency throughput accuracy and infrastructure cost reduction

Collaborate with data engineers architects business stakeholders and leadership teams to deliver strategic AI initiatives

Implement responsible AI security compliance and data privacy controls across AI solutions

Develop observability frameworks including logging monitoring model health checks and AI telemetry

Lead proofofconcepts innovation programs and AI transformation initiatives across business units

Provide technical leaders

📌 Senior Specialist (Pune)
🏢 LTM
📍 Pune