Senior AI Data Engineer

Job not on LinkedIn

🕒 September 4

🇺🇸 United States – Remote

💵 $50 - $80 / hour

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 9%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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High Bridge Consulting LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

High Bridge Consulting LLC is a bottom-up, people-first consulting and staffing firm that helps enterprises with digital transformation and technology-focused talent solutions. The company emphasizes integrity, quality, and collaboration, positioning itself as a knowledge management partner that supports clients, associates, vendors and partners across areas such as AI/ML, IoT, blockchain and other digital initiatives. High Bridge provides consulting services and places skilled associates to enable clients' success while fostering a creative, supportive environment for its consultants.

📋 Description

• 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

🎯 Requirements

• 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

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