In the GenAI world, three years is a lifetime. At Accenture, we focus on autonomous Multi‑Agent Systems. If juggling models, building robust RAG systems, and deploying via MCP is second nature to you, we consider you ready to take ownership of senior‑level engineering challenges in secure, data‑driven AI environments.

You will:

• Model Optimization: Orchestrate agents using the most suitable models for each use case (OpenAI, Claude 3.5, Gemini) and deploy open‑source models from Hugging Face. Build agent systems using platforms such as Google Antigravity.
• Advanced Data Architecture: Design pipelines for embeddings, hybrid search, and re‑ranking to support large‑scale Conversational Analytics.
• MCP Integration: Build secure Model Context Protocol servers bridging AI systems with enterprise databases.
• Cloud & AI Governance: Deploy agentic solutions into production environments (AWS, Azure, GCP) ensuring strict adherence to Responsible AI guardrails.
• Work daily with: Python, Multi‑Agent Systems, MCP, Vector DBs (Pinecone/Milvus), LLMs (Commercial & Open Source), RAG, MLOps, AWS/Azure/GCP.

🎯 Interview Note (Vibe Coding):

Have your development environment ready (Windsurf, Cursor, Antigravity). During the technical call, we will co‑build or debug a specific agentic flow to understand your engineering approach.

Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in‑person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.