Sr AI Data Engineer

HIGH BRIDGE CONSULTING LLC; United States; Remote; USD 150,000 - 185,000; Full time

Job summary

HIGH BRIDGE CONSULTING LLC seeks 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 remote role focuses on engineering and production deployment, not research or experimentation.

You will integrate enterprise LLMs, implement human-in-the-loop workflows, and build data validation pipelines in secure cloud environments across AWS/Azure/GCP. Strong Python and data engineering skills are essential.

Qualifications

• 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 AI solutions, not just prototypes.

Responsibilities

• 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.

Skills

Agentic AI

LangGraph

RAG

LLM integration

Databricks

Python

HITL

Tools

Azure

AWS

GCP

Job 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.