Senior Associate - AI Automation Engineer

Overview

As part of the Enterprise Automation function, architect and implement production-grade AI automation infrastructure on Azure by orchestrating, deploying, governing, and operationalizing LLM-powered systems that integrate with enterprise workflows. Define how Agentic AI capabilities are built, evaluated, secured, and scaled across the organization.

What you'll do

• Design and implement AI-driven automation workflows leveraging large language models available through Azure AI Foundry and Azure ML model catalog.
• Build agent-based systems using modern orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar.
• Implement tool-using agents, RAG pipelines, and structured function-calling patterns.
• Design robust integration layers for enterprise systems, including APIs, databases, and workflow platforms.
• Establish reusable architectural patterns for AI-powered automation.
• Deploy and manage production LLM-powered applications on Azure.
• Implement CI/CD practices for AI services.
• Containerize services using Docker.
• Ensure appropriate logging, monitoring, and operational reliability.
• Implement practical evaluation and testing approaches to ensure quality and consistency of AI outputs.
• Monitor performance and iterate based on real-world usage.
• Partner with RPA engineers to embed intelligent decision layers into automation processes.
• Collaborate with AI/Data Science teams to integrate existing models.
• Work with IT and Security teams to align with enterprise standards.

What you'll need

• 10+ years of experience in software engineering, ML engineering, or MLOps roles.
• Proven experience deploying LLM-powered applications into production environments.
• Strong Python backend engineering experience building and deploying API-based services.
• Hands-on experience integrating large language models via APIs or hosted endpoints.
• Practical experience using agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar.
• Experience designing and integrating RESTful APIs and enterprise system connectors.
• Familiarity with CI/CD workflows and version control best practices.
• Experience deploying containerized applications using Docker.
• Experience working within Azure-based environments.

Details

• Location: Hyderabad.