Build, integrate, test, secure, monitor, and operate agentic AI applications and platforms. Productionize AI proofs-of-concept into scalable, governed solutions; implement identity/security, sandboxing, telemetry, automated evaluation, tool orchestration, integrations, and reusable platform components; collaborate with architecture, security, governance, and application teams.
Role: Agentic AI Platform Engineer
Location: Denver, CO – Hybrid (2–3 days onsite per week)
Duration: 6–12 Month Contract-to-Hire
Work Authorization: US Citizen or Green Card Holder
Position Overview
Client is seeking a hands-on Agentic AI Platform Engineer to help
transform AI proofs of concept into secure, governed, scalable, and
production-ready enterprise capabilities.
This is an engineering-focused role for someone who can move
beyond AI strategy and experimentation and actually build, integrate, test,
secure, monitor, and operate AI-powered applications and agentic platforms.
The ideal candidate will have a strong full-stack software
engineering background, hands-on experience building AI/agentic applications,
and practical knowledge of Microsoft Copilot Studio, Power Platform, APIs,
cloud development, identity/security, telemetry, automated testing, and AI tool
orchestration.
This engineer will work closely with platform and architecture
leadership to implement technical controls and reusable capabilities that
enable AI agents to operate safely and reliably within a global enterprise
environment.
Required Skills:
- Hands-on Agentic AI / AI application engineering
- Full-stack software development background
- Microsoft Copilot Studio
- Low-code / Power Platform
- APIs, integrations and connectors
- AI agents/tool orchestration
- Identity/security around AI agents
- Telemetry/observability
- Automated testing/evaluation of AI output
- Cloud development
- Productionizing AI POCs
- SAP and ServiceNow AI/agent exposure as a plus
Key Responsibilities
- 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
and implement 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
for AI applications and agents.
- Develop
automated testing and evaluation frameworks to assess AI output quality,
reliability, safety, and performance.
- Implement
state management, recovery, error handling, and resilience patterns for
agentic workflows.
- Build
and maintain cloud-based AI application components and supporting
infrastructure.
- Work
with Microsoft Copilot Studio and Power Platform to build and integrate
enterprise AI capabilities.
- Develop
low-code and pro-code solutions where appropriate, understanding how to
integrate both approaches effectively.
- Establish
reusable implementation patterns for AI agents, tools, integrations, and
platform services.
- Collaborate
with architecture, security, governance, data, and application teams to
ensure solutions meet enterprise standards.
- 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 as part of day-to-day engineering activities.
- Help
establish engineering standards and technical controls that enable
responsible and scalable adoption of enterprise AI.
Similar Jobs
Consumer Web • Information Technology • Sales • Software
Own strategic value for a portfolio of high-value enterprise customers: lead complex onboarding, drive product adoption and measurable executive-level outcomes, maintain customer health and retention, resolve complex issues, cultivate advocacy and case studies, and feed enterprise insights to Product while maintaining accurate success plans and CRM metrics.
Top Skills:
CRMSaaS
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, and maintain automation tools and systems to deploy and manage cloud-based infrastructure. Collaborate with cross-functional teams to analyze requirements, implement APIs and database schemas, write automated tests, and contribute to architectural and automation strategies while emphasizing security and production stability.
Top Skills:
AIBambooDockerGitlab Ci/CdGoGraphQLJenkinsKubernetesMySQLOpentracingPostgresPrometheusRcmp+RedfishRestSnmpSoapSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, and productionize machine learning models to attribute cloud costs, forecast usage, and detect anomalies. Analyze large-scale cloud and financial datasets, run experiments, collaborate with engineers to deploy and monitor models, and report project status while improving team technical capability.
Top Skills:
AWSAws Cost ExplorerAzureAzure Cost ManagementCi/Cd For MlGCPGcp BillingKafkaMlopsPandasPythonPyTorchScikit-LearnSparkSpark StreamingSQLTensorFlow
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
