What We're Looking For

We are seeking a hands-on AI/platform/full-stack engineer who can help turn AI proofs of concept into secure, governed, production-ready capabilities. This is a builder role for someone who is comfortable working hands-on with emerging AI technologies while bringing the engineering discipline required to make them reliable, secure, observable, and scalable in a large enterprise environment.

The ideal candidate will have experience building and operating AI/agent platform components and implementing technical controls around sandboxing, identity, tool access, automated evaluation and testing, telemetry, state and recovery patterns, and reusable implementations.

Agentic AI Platform Engineer

Location: Denver, CO preferred (Hybrid)
Employment Type: Contract-to-Hire

Position Overview

We are seeking a hands-on Agentic AI Platform Engineer to help build, operationalize, and scale enterprise AI and agentic capabilities.
This is not a research or strategy-focused position. We are looking for an engineer who has hands-on experience building AI-enabled solutions and understands what it takes to move AI from proof of concept into a secure, reliable, production-ready enterprise environment.
The ideal candidate brings a strong software/full-stack engineering foundation combined with experience in agentic AI, low-code platforms, integrations, automation, and observability. Experience with Microsoft Copilot Studio is highly desirable.

Key Responsibilities

• Build and operate enterprise AI and agent platform components across cloud, development, and managed business-agent environments.
• Develop and productionize agentic AI solutions, workflows, integrations, and reusable platform capabilities.
• Configure AI platforms, connectors, tools, and controls governing what agents can access and execute.
• Implement identity, least-privilege access, approval gates, sandboxing, and other controls for AI-enabled solutions.
• Build automated evaluations, regression testing, output validation, and failure-detection capabilities.
• Implement telemetry and observability for agent actions, tool calls, approvals, outcomes, failures, and cost.
• Design resilient AI solutions using appropriate state management, checkpointing, and recovery patterns.
• Troubleshoot production issues, perform root-cause analysis, and convert failures into durable platform improvements.
• Build reusable templates, reference implementations, and onboarding patterns for development teams.
• Partner with governance, security, architecture, data, and engineering teams to ensure AI solutions can be deployed safely and reliably.

Desired Experience

• Strong hands-on software engineering or full-stack development background.
• Practical experience building Generative AI and/or Agentic AI applications.
• Experience with Microsoft Copilot Studio, Power Platform, or similar low-code AI platforms.
• Experience integrating applications through APIs, connectors, services, and enterprise platforms.
• Understanding of agent orchestration, tool use, context, memory, and AI workflow patterns.
• Experience with cloud-based development environments and modern software engineering practices.
• Understanding of identity, security, telemetry, automated testing, and production monitoring.
• Experience taking AI solutions from prototype or POC into production.
• Exposure to enterprise AI platforms such as SAP, ServiceNow AI/agent capabilities, Microsoft Copilot, or similar technologies is a plus.