Senior AI Agent Engineer for Data Platform

Insight Global; Colorado; On-site; USD 140,000 - 180,000; Full time

Job summary

Insight Global is seeking a Data Scientist IV to support a large telecommunications client on their Infrastructure Intelligence and Analytics team. The role focuses on designing, building, deploying, and evaluating AI agents that use anomaly detection outputs and data from a data lake to automate investigations.

You will own the full agent lifecycle from development through production deployment, working with LangGraph, LLMs, and agent orchestration to deliver production-grade AI solutions on a

Qualifications

• 5+ years of Data Science, ML, Software Engineering, or AI development experience.
• Strong Python and object-oriented programming skills.
• Experience building AI agents programmatically (LangGraph or similar).
• Experience with LLMs, agent orchestration, tool calling, retrieval, and memory patterns.
• Strong SQL skills and experience working with large datasets.
• Experience deploying production-grade solutions using Git, testing, and CI/CD.

Responsibilities

• Build and enhance AI agents using LangGraph or similar frameworks.
• Integrate agents with data lakes, anomaly detection outputs, APIs, and real-time data sources.
• Deploy agents into production through CI/CD pipelines.
• Evaluate agent performance using gold-standard datasets and observability tools.
• Improve agent quality through prompt engineering, context engineering, and tool design.
• Collaborate with engineering and operations teams to support autonomous remediation initiatives.

Skills

Data Science

Machine Learning

Software Engineering

AI development

Python

SQL

Tools

LangGraph

LLMs

agent orchestration

Git

CI/CD

REST APIs

boto3

n8n

Job description

Insight Global is seeking a Data Scientist IV to support a large telecommunications client on their Infrastructure Intelligence and Analytics team. The role focuses on designing, building, deploying, and evaluating AI agents that use anomaly detection outputs and data from a data lake to automate investigations.

You will own the full agent lifecycle from development through production deployment, working with LangGraph, LLMs, and agent orchestration to deliver production-grade AI solutions on a