Enterprise AI Platform Engineer | Copilot Studio

Jobtailor

Denver (CO)

On-site

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

Jobtailor in Denver, Colorado seeks an experienced AI application engineer to design, build, and productionize agentic AI solutions across development, testing, and production environments. You will own integrations via REST APIs, ensure strong security and identity controls, implement observability, and push reusable patterns for enterprise AI alongside Copilot Studio and Power Platform.

This role demands 8–12 years of hands-on experience, full-stack skills, and a track record of

Qualifications

  • 8–12 years of work experience in AI application engineering or related roles.
  • Hands-on experience with agentic AI, AI workloads, and productionizing proofs of concept.
  • Full-stack software development background with REST APIs and integrations.
  • Experience with Microsoft Copilot Studio and Power Platform.
  • Security, identity, and access-control practices for AI workloads.
  • Experience in cloud development and telemetry/observability.
  • Experience building scalable, secure enterprise AI platforms.

Responsibilities

  • Design, develop, and productionize AI applications, AI agents, and agentic workflows.
  • Transform AI proofs of concept into secure, scalable, reliable production solutions.
  • Build reusable components and platform capabilities for enterprise AI and agentic applications.
  • Develop integrations using REST APIs, SDKs, connectors, webhooks, and enterprise services.
  • Implement AI agent tool orchestration, tool access controls, and integration patterns.
  • Develop sandboxing and isolation mechanisms for AI agents and applications.
  • Implement secure identity, authentication, authorization, and access-control patterns for AI workloads and agents.
  • Build telemetry, logging, monitoring, tracing, and observability capabilities.
  • Develop automated testing and evaluation frameworks for AI output quality, reliability, safety, and performance.
  • Implement state management, recovery, error handling, and resilience patterns.
  • Build and maintain cloud-based AI application components and infrastructure.
  • Work with Microsoft Copilot Studio and Power Platform.
  • Develop low-code and pro-code solutions and integrate both approaches.
  • Establish reusable implementation patterns for AI agents, tools, integrations, and platform services.
  • Collaborate with architecture, security, governance, data, and application teams.
  • Troubleshoot and optimize AI applications across development, testing, and production environments.
  • Use command-line tools, IDEs, source control, CI/CD pipelines, and cloud development environments.
  • Help establish engineering standards and technical controls for responsible, scalable enterprise AI adoption.

Skills

AI Application Engineering
Full-Stack Software Development
Microsoft Copilot Studio Experience
Low-code / Power Platform experience
APIs & Integrations
AI/Agent Orchestration
Cloud Development
Observability / Telemetry
Security & Identity

Tools

Power Platform
CI/CD Pipelines
Cloud Development Environments
IDEs / Command-Line Tools

Job description

Jobtailor in Denver, Colorado seeks an experienced AI application engineer to design, build, and productionize agentic AI solutions across development, testing, and production environments. You will own integrations via REST APIs, ensure strong security and identity controls, implement observability, and push reusable patterns for enterprise AI alongside Copilot Studio and Power Platform.

This role demands 8–12 years of hands-on experience, full-stack skills, and a track record of

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