Senior Associate – AI Engineer, Data and Analytics, Advisory

Overview

Design, build, integrate and support production-grade AI applications powered by LLMs, agentic workflows, RAG, vector search, AI Gateway integrations and cloud-native Azure services, working with products, platform, MLOps, security, compliance and application engineering teams.

What you'll do

• Build application-facing AI features powered by LLMs, agentic workflows and AI orchestration platforms.
• Integrate with MLOps-managed agents and consume LLM capabilities through AI Gateway patterns including routing, authentication, policy controls and logging.
• Design and implement agentic workflows using tool calling, function calling, context handling, prompt/version management and orchestration patterns.
• Work with Agentic Layer A2A frameworks and MCP Protocol to enable interoperable agent communication and workflow execution.
• Develop RAG-based solutions using vector embeddings, vector databases, Azure AI Search, Redis, Cosmos DB and relevant cloud data stores.
• Build and orchestrate LLM-powered applications using LangChain, LangGraph and related frameworks.
• Deploy scalable AI solutions on Azure using Azure Functions, Azure Container Apps and cloud-native architecture patterns.
• Optimize AI applications for latency, scalability, reliability, cost and performance.
• Implement production readiness practices including testing, observability, monitoring, evaluations, guardrails, safety controls and incident support.
• Partner with security, compliance, architecture and platform teams to meet governance, data protection and enterprise control requirements.
• Document integration patterns, architecture, operational runbooks, evaluation practices and reusable engineering components.

What you'll need

• Bachelor of Technology or MBA (Master of Business Administration).
• Experience: 4 to 7 years.
• Experience building production AI integrations using LLMs, agents, orchestration frameworks and APIs.
• Hands-on experience with Agentic AI, A2A frameworks, MCP Protocol, tool/function calling and workflow orchestration.
• Strong expertise in vector embeddings, prompt engineering, prompt versioning, context engineering and RAG.
• Experience with LangChain and LangGraph.
• Strong programming skills in Python and at least one backend language such as Java or Node.js.
• Proficiency in Azure Cloud deployment.
• Experience with Azure AI Search, vector databases, Redis, Cosmos DB and related data platforms.
• Proven ability to design and manage Azure Functions and Azure Container Apps.
• Strong software engineering fundamentals including testing, observability, reliability, secure integration and production support.
• Familiarity with evaluation methods, guardrails, monitoring and safety/quality controls.
• Strong understanding of cloud-native architecture, scalability and performance optimization.
• Strong interpersonal and good negotiation skills.
• Required skill: SAP BW/4HANA.

Nice to have

• Experience with Blob Storage, Iceberg, Kubernetes, Docker, CI/CD and MLOps pipelines.
• Exposure to Azure AI Foundry, Azure OpenAI, AWS AI services or multi-cloud AI platforms.
• Experience with enterprise AI Gateway patterns, policy enforcement and GenAI governance.
• Experience building reusable AI starter kits, orchestration templates, evaluation harnesses or observability frameworks.
• Knowledge of responsible AI, data privacy, compliance and secure enterprise AI delivery.

Details

• Location: Bengaluru Millenia.
• Visa sponsorship: not offered.
• Government clearance: not required.
• Job posting end date: April 15, 2026.