AI Engineer

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 is seeking an AI Engineer for an Enterprise client focused on building and operationalizing custom AI and machine learning models for an advanced agentic platform. This role is 100% dedicated to AI model design, testing, and deployment. The engineer will work hands‑on creating new models, supporting existing custom models, and collaborating closely with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. This is an excellent opportunity for a true AI/ML engineer who wants to work on modern agent systems, custom MCP development, and next‑generation AI technologies.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 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
• AWS Bedrock AgentCore (2025
  • Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers
• Multi-Agent Orchestration
  • Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen
• Model Context Protocol (MCP)
  • 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