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HIGH BRIDGE CONSULTING LLC

Sr AI Data Engineer

HIGH BRIDGE CONSULTING LLC United States · $104K–$166K/yr

Staffing and Recruiting · 51-200 employees

Sep 03
Remote data-engineer Senior (5-10 yrs) Full-time United States
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About the role

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.

What they look for

Agentic AI Multi-Agent Systems LangGraph Python RAG LLM Integration Databricks Azure AWS GCP Data Engineering Human-in-the-loop Mosaic AI Vector Search Enterprise AI Governance

Requirements

Candidates must have strong experience in engineering Agentic AI systems using LangGraph and Python. A proven track record of deploying production-grade AI solutions in enterprise environments is required.

Full 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

  • 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  

This is a remote position.

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