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 OverviewClient 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 engineeringFull-stack software development backgroundMicrosoft Copilot StudioLow-code / Power PlatformAPIs, integrations and connectorsAI agents/tool orchestrationIdentity/security around AI agentsTelemetry/observabilityAutomated testing/evaluation of AI outputCloud developmentProductionizing AI POCsSAP and ServiceNow AI/agent exposure as a plus Key ResponsibilitiesDesign, 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.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 OverviewClient 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 engineeringFull-stack software development backgroundMicrosoft Copilot StudioLow-code / Power PlatformAPIs, integrations and connectorsAI agents/tool orchestrationIdentity/security around AI agentsTelemetry/observabilityAutomated testing/evaluation of AI outputCloud developmentProductionizing AI POCsSAP and ServiceNow AI/agent exposure as a plus Key ResponsibilitiesDesign, 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.

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

Role: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 HolderLocation:Duration:Work Authorization: US Citizen or Green Card Holder

Position Overview

Position OverviewPosition 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.

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.

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.

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.

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:

Required Skills:Required Skills:

• Hands-on Agentic AI / AI application engineering

Hands-on Agentic AI / AI application engineering

• Full-stack software development background

Full-stack software development background

• Microsoft Copilot Studio

Microsoft Copilot Studio

• Low-code / Power Platform

Low-code / Power Platform

• APIs, integrations and connectors

APIs, integrations and connectors

• AI agents/tool orchestration

AI agents/tool orchestration

• Identity/security around AI agents

Identity/security around AI agents

• Telemetry/observability

Telemetry/observability

• Automated testing/evaluation of AI output

Automated testing/evaluation of AI output

• Cloud development

Cloud development

• Productionizing AI POCs

Productionizing AI POCs

• SAP and ServiceNow AI/agent exposure as a plus

SAP and ServiceNow AI/agent exposure as a plus

Key Responsibilities

Key ResponsibilitiesKey Responsibilities

• Design, develop, and productionize AI applications, AI agents, and agentic workflows.

Design, develop, and productionize AI applications, AI agents, and agentic workflows.

• Transform AI proofs of concept into secure, scalable, reliable, and maintainable production solutions.

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.

Build reusable components and platform capabilities for enterprise AI and agentic applications.

• Develop integrations using REST APIs, SDKs, connectors, webhooks, and enterprise services.

Develop integrations using REST APIs, SDKs, connectors, webhooks, and enterprise services.

• Implement AI agent tool orchestration, tool access controls, and integration patterns.

Implement AI agent tool orchestration, tool access controls, and integration patterns.

• Develop and implement sandboxing and isolation mechanisms for AI agents and applications.

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.

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.

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.

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.

Implement state management, recovery, error handling, and resilience patterns for agentic workflows.

• Build and maintain cloud-based AI application components and supporting infrastructure.

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.

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.

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.

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.

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.

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.

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.

Help establish engineering standards and technical controls that enable responsible and scalable adoption of enterprise AI.

Skill set

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 plusI'm interested{{criteriaIndex}} {{field}} {{captialize(condition)}} ( ) {{cxPropHelpText}} {{cxPropField.consent_details.description}} {{record.Posting_Title}} {{record.Posting_Title}} {{record.Posting_Title}} {{candidate.Email}} {{topMessage}} Job Details {{topMessage}} previous next {{title}} {{score}}% Job Description {{unescape(sanitizeHTML(descriptionHTML))}} {{message}} Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}} For privacy and security purposes, please go through the following points and provide consent. Accept Decline {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{cxPropAssessment.name}} {{getI18n("zr.questionnaire.question.information.heading")}} {{getI18n("zr.cw.autofill.head")}} {{cxPropBodyMessage}} {{getI18n("zr.careers.autopopulate.success")}} {{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}} {{if(cxPropDetails.applyWithSeekButton,cxPropDetails.applyWithSeekButton.buttonLabel,getI18n("zr.quickapply.apply.toggle","Seek"))}} {{getI18n('zr.eeo.questionnaire.portal.maintitle')}} {{botName}} {{getI18n("zr.zia.sb.consent.msg1")}}{{criteriaIndex}}{{criteriaIndex}}{{field}} {{captialize(condition)}}{{field}}{{captialize(condition)}}( )(){{cxPropHelpText}}{{cxPropHelpText}}{{cxPropField.consent_details.description}}

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