Lead Agentic AI Engineer
Accenture (company site, opens in a new tab)12+ yrsKochiOn-siteDirect career pageEst. 45–80 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and integrate production-grade Agentic AI systems leveraging cloud platforms AWS Bedrock, Azure AI Foundry, or GCP Vertex AI.
- Build intelligent agents with capabilities including tool use, planning, reasoning, memory management, workflow orchestration, multi-agent communication, and automation of complex business workflows.
- Collaborate across teams (architects, product, data engineers, developers) to deliver scalable, secure, interoperable, and production-ready AI agent solutions.
Minimum Requirements
- 12 years of hands-on experience in Agentic AI, LLM application development, or related fields.
- Minimum 5 years professional experience in backend development and/or data engineering.
- Proficiency with at least one major AI cloud platform: AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
- Graduation degree required; notice period not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in implementing and integrating AI agents using MCP Model Context Protocol and Agent2Agent (A2A) communication protocols for secure tool and multi-agent collaboration.
- Proficient in backend services development including APIs, microservices, and scalable data pipelines, especially using Python with familiarity in Java or Node.js as advantageous.
- Skilled in deploying production-ready GenAI solutions including RAG frameworks, vector databases, LLM frameworks (LangChain, Semantic Kernel, etc.), and development operations including CI/CD and secure API integration.