Ai Integration Engineer Jobs in Rochester Hills, MI

Job Description

The Role:

The Automation Platform Engineer is a strategic member of the organization responsible for the operations, roadmap execution, governance, and enterprise adoption of its automation platform ecosystem, including tools such as Ansible, Chef, and Terraform Enterprise. This role combines deep technical expertise in workflow and platform automation with strong platform engineering leadership to build scalable, secure, reusable, and customer-centric automation capabilities across the enterprise.

You will maintain, design, and evolve automation platforms, develop reusable automation frameworks, and integrate automation with enterprise systems such as ServiceNow and other operational tooling. A key focus of the role is leading the integration of Agentic AI into workflow and platform automation tools to enable intelligent orchestration, streamline multi-step workflows, and improve automation across enterprise systems.

This role is central to expanding self-service capabilities, reducing operational toil, and modernizing infrastructure and platform operations through AI-enabled automation. Success in this role means delivering reliable, secure, and scalable automation that accelerates operational excellence, improves user adoption, and drives the next generation of intelligent enterprise workflows.

What You'll Do

Agentic AI Integration for Workflow and Platform Automation

• Lead the integration of Agentic AI capabilities into workflow and platform automation tools to improve orchestration, decision support, and execution efficiency.
• Design and implement AI-enabled automation patterns such as intelligent workflow generation, automation validation, remediation recommendations, change-impact analysis, troubleshooting assistance, and root-cause analysis.
• Build automation patterns that combine AI reasoning with governed workflow and platform execution to support more predictive, adaptive, and autonomous operations.
• Partner with AI/ML, platform, security, application, ITAM and ITSM teams to embed automation signals, operational context, and enterprise controls into AI-driven automation solutions.
• Help shape the next generation of intelligent enterprise automation by aligning platform engineering, workflow automation, and Agentic AI capabilities into scalable operational solutions.

Automation Framework Design and Enablement

• Design enterprise-grade automation frameworks using reusable modules, workflows, and integration patterns that support infrastructure, platform, and operational use cases.
• Build automation solutions for provisioning, configuration management, patching, compliance, cloud infrastructure, and operational workflows.
• Integrate automation platforms with enterprise systems and toolchains such as ServiceNow, CI/CD pipelines, GitOps workflows, observability platforms, and event-driven automation services.
• Enable self-service automation capabilities for engineering, operations, and business teams through well-defined templates, reusable services, and governed platform access.

Automation Platform Development and Operations

• Design, implement, operate, and continuously improve the enterprise automation platform ecosystem, including tools such as Ansible, Chef, Terraform Enterprise, and related workflow automation technologies.
• Define and maintain the automation platform roadmap, including feature evolution, lifecycle management, scalability planning, platform reliability, and enterprise adoption milestones.
• Establish and enforce platform governance, including coding standards, reusable patterns, testing frameworks, operational guardrails, and security controls across automation solutions.
• Build and maintain reusable automation foundations optimized for performance, security, maintainability, and dependency management.
• Lead platform upgrades, migrations, standardization efforts, and cross-environment consistency initiatives.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field. Concentration or demonstrated focus in AI technologies is a plus.
• 3-5+ years of experience in platform engineering, DevOps, and enterprise automation.
• Experience designing, operating, and scaling automation platforms and reusable automation frameworks in complex enterprise environments.
• Background in infrastructure automation, configuration management, provisioning, patching, compliance, and operational workflow automation.
• Experience integrating automation platforms with enterprise systems and toolchains such as ServiceNow, CI/CD pipelines, GitOps workflows, observability platforms, and event-driven automation services.
• Strong scripting and automation development skills using languages such as Python, Bash, or PowerShell.
• Familiarity with Linux systems, containers, Kubernetes, and modern orchestration patterns.
• Experience establishing platform standards, governance, security controls, and reusable engineering patterns for automation at scale.

Preferred Qualifications

• Experience implementing Agentic AI, AIOps, or AI-enabled automation within infrastructure, platform, or operational workflows.
• Experience integrating AI capabilities into enterprise automation tools for use cases such as workflow generation, validation, remediation, troubleshooting, or operational decision support.
• Hands-on experience with enterprise automation tools such as Ansible, Chef, Terraform Enterprise, and other infrastructure or workflow automation platforms.

About GM

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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