AI Platform Engineer

Jobtailor; Denver (CO); On-site; USD 140,000 - 190,000; Full time

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

• Design, develop, and productionize AI applications, AI agents, and agentic workflows
• Transform AI proofs of concept into secure, scalable, reliable, and maintainable 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

Requirements

• 8–12 years of work experience
• Hands-on agentic AI / AI application engineering
• Full-stack software development background
• Microsoft Copilot Studio experience
• Low-code / Power Platform experience
• APIs, integrations, and connectors
• AI agent and tool orchestration
• Identity and security around AI agents
• Telemetry and observability
• Automated testing and evaluation of AI output
• Cloud development
• Experience productionizing AI proofs of concept
• US Citizen or Green Card Holder work authorization
• SAP and ServiceNow AI/agent exposure is a plus

Core Competencies

Demonstrates expertise in designing and developing AI applications, with a strong focus on secure, scalable, and maintainable solutions. Proficient in integrating AI tools and workflows, implementing security measures, and establishing engineering standards for enterprise AI adoption.

Highest-signal resume keywords

• AI Application Engineering
• Microsoft Copilot Studio Experience
• Full-Stack Software Development
• Automated Testing and Evaluation
• Cloud Development

ATS Optimization Keywords

Hard Skills

• AI Application Development
• REST APIs
• Integrations
• Automated Testing
• Telemetry
• Orchestration
• Identity and Security
• Error Handling
• State Management
• Productionizing AI Solutions

Industry Keywords

• Agentic Workflows
• Secure Identity
• Access Control
• Observability
• AI Workloads
• SAP Exposure
• ServiceNow Exposure

Tools & Technologies

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