I
Applied AI Engineer
Insight Global
3 hours ago
Full-time
On-site
Broomfield, Colorado, United States
Title : Applied AI Engineer
Duration:
3.5 Month Contract (10/16/2026 - 1/31/2027) Pay Rate:
$75-$80 Location:
Hybrid, Broomfield, CO Schedule:
40 hours/week (standard business hours)
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.
Job Description: Insight Global is seeking an
Applied AI Engineer
for a leading consumer retail and digital transformation client. This individual will join a newly established Enterprise Applied AI team focused on accelerating responsible AI adoption across the organization. The ideal candidate will be a hands-on engineer with experience building AI agents, copilots, and intelligent workflow automations using modern AI technologies such as Azure AI Foundry, LangChain, LangGraph, React, and Microsoft Copilot Studio. They will develop scalable, secure AI applications, build enterprise integrations, and collaborate with both technical and business stakeholders to deliver measurable business outcomes. This is an exciting opportunity to work on enterprise-grade AI initiatives, influence AI strategy, and help establish reusable frameworks that drive innovation across a global organization.
Must-Haves: 4+ years of software engineering, automation engineering, or solution development experience Experience building AI agents, copilots, chatbots, or workflow automations Hands-on experience with LangChain and LangGraph Experience with LLM application patterns including: RAG Orchestration Tool use Evaluation frameworks Guardrails Human oversight Experience integrating enterprise applications via REST APIs, connectors, workflow automation platforms, or event-driven services React and JavaScript/TypeScript development experience Azure AI Foundry and Azure services experience Understanding of: Responsible AI Threat modeling Least-privilege access Secrets management Production monitoring Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Day-to-Day: Design, develop, deploy, and support AI agents, copilots, assistants, and workflow automations Build AI solutions using: Microsoft Copilot Studio Atlassian Rovo Azure AI Foundry Azure xsgimln Foundry Agent Service LangChain LangGraph Develop secure Azure integrations and enterprise APIs Build AI-powered applications and user interfaces using React and TypeScript Implement AI safety, governance, and security controls Create reusable AI templates, workflows, connectors, and accelerators Monitor AI solution performance, adoption, costs, and effectiveness Troubleshoot production issues and optimize deployed AI applications Partner with business stakeholders to identify AI automation opportunities Translate business requirements into technical solutions Create documentation, best practices, and reusable assets Evaluate emerging AI technologies and build prototypes Leverage GitHub Copilot to accelerate development and code quality
3.5 Month Contract (10/16/2026 - 1/31/2027) Pay Rate:
$75-$80 Location:
Hybrid, Broomfield, CO Schedule:
40 hours/week (standard business hours)
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.
Job Description: Insight Global is seeking an
Applied AI Engineer
for a leading consumer retail and digital transformation client. This individual will join a newly established Enterprise Applied AI team focused on accelerating responsible AI adoption across the organization. The ideal candidate will be a hands-on engineer with experience building AI agents, copilots, and intelligent workflow automations using modern AI technologies such as Azure AI Foundry, LangChain, LangGraph, React, and Microsoft Copilot Studio. They will develop scalable, secure AI applications, build enterprise integrations, and collaborate with both technical and business stakeholders to deliver measurable business outcomes. This is an exciting opportunity to work on enterprise-grade AI initiatives, influence AI strategy, and help establish reusable frameworks that drive innovation across a global organization.
Must-Haves: 4+ years of software engineering, automation engineering, or solution development experience Experience building AI agents, copilots, chatbots, or workflow automations Hands-on experience with LangChain and LangGraph Experience with LLM application patterns including: RAG Orchestration Tool use Evaluation frameworks Guardrails Human oversight Experience integrating enterprise applications via REST APIs, connectors, workflow automation platforms, or event-driven services React and JavaScript/TypeScript development experience Azure AI Foundry and Azure services experience Understanding of: Responsible AI Threat modeling Least-privilege access Secrets management Production monitoring Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Day-to-Day: Design, develop, deploy, and support AI agents, copilots, assistants, and workflow automations Build AI solutions using: Microsoft Copilot Studio Atlassian Rovo Azure AI Foundry Azure xsgimln Foundry Agent Service LangChain LangGraph Develop secure Azure integrations and enterprise APIs Build AI-powered applications and user interfaces using React and TypeScript Implement AI safety, governance, and security controls Create reusable AI templates, workflows, connectors, and accelerators Monitor AI solution performance, adoption, costs, and effectiveness Troubleshoot production issues and optimize deployed AI applications Partner with business stakeholders to identify AI automation opportunities Translate business requirements into technical solutions Create documentation, best practices, and reusable assets Evaluate emerging AI technologies and build prototypes Leverage GitHub Copilot to accelerate development and code quality