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# TELECOMMUTE Sr AI Data Engineer

- **Company:** High Bridge Consulting
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Information Engineering, Python (Programming Language), Search Technologies, Software Deployment, Google Cloud, Large Language Models, Multi-Agent Systems, Build Management, Virtual Agents, Automation Anywhere, Databricks
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/2d3a7e10-0982-48b7-a949-389e52d818dd

## About the Role

Production experience building Agentic AI or Multi-Agent systems.
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Strong LangGraph or comparable agent orchestration experience.
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Hands-on experience with RAG, LLM integration, and enterprise AI applications.
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Experience with Databricks, Azure, AWS, or Google Cloud Platform.
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Strong Python and data engineering skills.
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Experience implementing reliable human-in-the-loop AI workflows.
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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.

## Description

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
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Build and deploy multi-agent AI workflows using LangGraph or similar frameworks.
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Develop RAG, retrieval, validation, knowledge-mapping, and document-generation agents.
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Integrate enterprise-approved LLMs, including Anthropic Claude or comparable platforms.
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Implement human-in-the-loop workflows, checkpointing, and resumable agent processes.
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Build automated data reconciliation and validation pipelines.
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Work with structured and unstructured enterprise data in a secure cloud environment.
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Partner with solution architects and business stakeholders to productionize AI solutions.


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