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# Sr AI Data Engineer

- **Company:** Highbridge Consulting LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Information Engineering, Python (Programming Language), Machine Learning, Search Technologies, Software Deployment, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Build Management, Claude, Automation Anywhere, Human in the Loop, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/c48c7e77-b4cd-4b2c-9df3-c03fdaa1ab82/sr-ai-data-engineer

## About the Role

* 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.

PreferredDatabricks Mosaic AI, Anthropic Claude, Unity Catalog, Vector Search, Agentic RAG, enterprise AI governance, banking or other regulated-industry experience.Recruiter KeywordsAgentic 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

## Description

Job DescriptionWe 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.