Senior AI Engineer: Production ML & Agent Systems

Insight Global; Reading (Berks County); On-site; USD 120,000 - 180,000; Full time

Job summary

Insight Global seeks an AI Engineer for an Enterprise client focused on building and operationalizing custom AI/ML models for an advanced agentic platform. You will design, test, and deploy models, working hands-on with SageMaker and Dataiku to bring AI solutions into production.

The role emphasizes model lifecycle management, collaboration with data scientists, and learning emerging AI technologies and cloud services in a fast-paced environment.

Qualifications

• 5+ years of experience as an Engineer.
• Ability to build an AI Model, test, and operationalize them.
• Python(3.11+) hands-on experience building robust applications and agentic logic.
• Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models.
• Proficiency in data preparation and analytics using Dataiku.
• Solid understanding of core Machine Learning concepts and model lifecycle management.
• Familiarity with AWS Bedrock AgentCore ecosystem and Agent Runtime, Memory, Identity, and Tool Gateway layers.
• Experience with multi-agent orchestration frameworks like LangGraph, CrewAI, AutoGen.
• Strong understanding of MCP and modern tool/API integration patterns for AI agent.
• AWS Certification (AWS Certified Solutions Architect/Associate, Certified Developer/Associate, or AWS Certified AI Practitioner).
• Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.

Skills

Engineering experience

AI model design & deployment

Python (3.11+)

ML concepts & lifecycle

Collaboration with data scientists

Willingness to learn new AI tech

Tools

Amazon SageMaker

Dataiku

LangGraph

CrewAI

AutoGen

AWS Bedrock AgentCore

Agent Runtime

Memory

Identity

Tool Gateway layers

Job description

Insight Global seeks an AI Engineer for an Enterprise client focused on building and operationalizing custom AI/ML models for an advanced agentic platform. You will design, test, and deploy models, working hands-on with SageMaker and Dataiku to bring AI solutions into production.

The role emphasizes model lifecycle management, collaboration with data scientists, and learning emerging AI technologies and cloud services in a fast-paced environment.