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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy Generative AI and Agentic AI applications using AWS services such as Amazon Bedrock to deliver scalable enterprise-grade AI solutions.
Build intelligent agents and multi-agent workflows with LangGraph, LangChain, Python, and Retrieval-Augmented Generation (RAG), integrating enterprise data, APIs, and external tools to automate complex business processes.
Collaborate with architecture, cloud, and DevOps teams to implement secure, scalable, and observable AI solutions adhering to software engineering best practices and enterprise governance.
Minimum Requirements
10+ years industrial experience overall with 1-2 years hands-on AI/ML application development experience.
Strong expertise in AWS cloud development and practical experience with LangGraph, LangChain, Python, and LLMs.
Experience working with Generative AI, Agentic AI, and Amazon Bedrock.
Work Experience Required: 10+ years, with 1-2 years AI/ML application development experience explicitly mentioned.
Ideal Candidate Profile
Proven ability to lead end-to-end development and deployment of enterprise AI solutions involving multi-agent workflows and RAG patterns.
Experienced in collaborating effectively across architecture, cloud, and DevOps teams to deliver secure, scalable AI systems.
Strong command over cloud-native architectures on AWS and applied knowledge of generative and agentic AI frameworks.