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Tier-2 global firm, metro location, mid-level AI role with broad cloud and data requirements increases competition.
Specialized agentic AI, LangChain, Bedrock, and data engineering skills reduce cross-industry transferability.
Multiple mandatory technologies, cloud platforms, and explicit six-year experience requirement make shortlisting highly strict.
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Develop and implement AI agent automation solutions using Azure Foundry and AWS Bedrock, focusing on agentic automation capabilities such as reasoning, planning, and autonomous task execution.
Design, develop, and maintain scalable backend services and APIs to support AI agent operations including performance monitoring and ensuring responsible AI practices like security and compliance.
Collaborate with cross-functional teams including data engineers, software developers, and business stakeholders to deliver AI-driven automation solutions, implement prompt engineering, agent orchestration, and tool integrations.
6+ years of experience in software development or engineering roles.
Bachelor's degree in Computer Science or related field with at least 3 years of relevant experience.
Strong hands-on experience with AI agents automation using Azure Foundry/AWS Bedrock and related agentic automation implementations.
Proficiency in data engineering using Python, SQL, Pandas, Hadoop, and Hive; experience with frameworks like LangChain, LangGraph, MCP Server or Semantic Kernel.
Experienced in developing complex AI workflows and multi-agent systems with operational control over AI agents including reasoning and memory management.
Comfortable working in agile environments with client-facing exposure and ability to communicate effectively with stakeholders.
Skilled in designing context-aware AI response systems such as Retrieval Augmented Generation (RAG) pipelines and ensuring AI solution compliance with governance and security standards.