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Hiring: Lead Data Engineer with Gen AI at Charlotte, NC

  • Job type Posted on: Jun 29, 2026
  • Experience level Realtech Services
  • Employment type Charlotte, North Carolina
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Hiring: Lead Data Engineer with Gen AI at Charlotte, NC

Job Type :

Full-time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Role: Lead Data Engineer with Gen AI Location: Charlotte, NC Duration: Long Term Contract Key Responsibilities Design and develop Agentic AI systems using Google ADK, LangChain, and LangGraph, including multi-agent orchestration, state management, and tool integration leveraging enterprise approved LLMs. Integrate agents with enterprise Systems of Record (SoRs) by building reliable data pipelines, APIs, and connectors across structured and unstructured sources. Integrate organization-approved foundation models (like Anthropic, Google Gemini etc.) into Agentic task-based workflows. Partner with Process Excellence and Ops teams to ideate and implement AI copilots and AI Agents for business functions. Develop scalable Python-based services for agent workflows, incorporating RAG, tool calling, memory, and structured outputs. Engineer data ingestion and transformation pipelines (batch/streaming) to enable high-quality, governed data access for AI agents. Write and optimize complex SQL queries for analytics, feature extraction, and real-time agent decisioning. Implement observability, evaluation, and guardrails across both data and AI layers, ensuring performance, quality, compliance, and cost efficiency. Use SQL, Python, and cloud-native tools (GCP, Azure, or AWS) to ensure data quality and lineage. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jun 29, 2026

Reference Number:

14660_9E9B31AF1C31C24E6CCD4FF6EF83DB05

Employment:

Full-time

Salary:

Not Available

City:

Charlotte

Job Origin:

APPCAST_CPC

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Role: Lead Data Engineer with Gen AI Location: Charlotte, NC Duration: Long Term Contract Key Responsibilities Design and develop Agentic AI systems using Google ADK, LangChain, and LangGraph, including multi-agent orchestration, state management, and tool integration leveraging enterprise approved LLMs. Integrate agents with enterprise Systems of Record (SoRs) by building reliable data pipelines, APIs, and connectors across structured and unstructured sources. Integrate organization-approved foundation models (like Anthropic, Google Gemini etc.) into Agentic task-based workflows. Partner with Process Excellence and Ops teams to ideate and implement AI copilots and AI Agents for business functions. Develop scalable Python-based services for agent workflows, incorporating RAG, tool calling, memory, and structured outputs. Engineer data ingestion and transformation pipelines (batch/streaming) to enable high-quality, governed data access for AI agents. Write and optimize complex SQL queries for analytics, feature extraction, and real-time agent decisioning. Implement observability, evaluation, and guardrails across both data and AI layers, ensuring performance, quality, compliance, and cost efficiency. Use SQL, Python, and cloud-native tools (GCP, Azure, or AWS) to ensure data quality and lineage. #J-18808-Ljbffr

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