The role involves building and deploying production-grade multi-agent AI workflows and RAG systems within a secure cloud environment. You will collaborate with architects and stakeholders to implement automated data reconciliation and human-in-the-loop processes.
We are seeking a hands-on Senior AI / Data Engineer to build and deploy production-grade Agentic AI and multi-agent solutions for a major enterprise transformation. This role is focused on engineering and production deployment—not research or experimentation.
What You Will Do
Build and deploy multi-agent AI workflows using LangGraph or similar frameworks.
Develop RAG, retrieval, validation, knowledge-mapping, and document-generation agents.
Integrate enterprise-approved LLMs, including Anthropic Claude or comparable platforms.
Implement human-in-the-loop workflows, checkpointing, and resumable agent processes.
Build automated data reconciliation and validation pipelines.
Work with structured and unstructured enterprise data in a secure cloud environment.
Partner with solution architects and business stakeholders to productionize AI solutions.
Required Skills
Production experience building Agentic AI or Multi-Agent systems.
Strong LangGraph or comparable agent orchestration experience.
Hands-on experience with RAG, LLM integration, and enterprise AI applications.
Experience with Databricks, Azure, AWS, or GCP.
Strong Python and data engineering skills.
Experience implementing reliable human-in-the-loop AI workflows.
Ability to build and deploy production-grade—not just prototype—AI solutions.
Preferred
Databricks Mosaic AI, Anthropic Claude, Unity Catalog, Vector Search, Agentic RAG, enterprise AI governance, banking or other regulated-industry experience.
Recruiter Keywords
Agentic AI | AI Agents | Multi-Agent Systems | LangGraph | Generative AI | LLM | RAG | Databricks | Mosaic AI | Python | Anthropic Claude | Vector Search | Human-in-the-Loop | AI/ML Engineering | Data Engineering
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