Azure Enterprise Automation and AI Platform Engineer

Azure Enterprise Automation and AI Platform Engineer

Atlanta, GA - hybrid

Direct Hire

$145-155K

We are seeking an experienced Enterprise Automation and AI Platform Engineer to support the reliable, secure, and scalable operation of cloud-based productivity, automation, and artificial intelligence platforms. This role will establish platform standards, guide solution architecture, and partner with technical and business teams to deliver governed, cost-effective solutions aligned with organizational goals.

Responsibilities

• Lead the architecture, standardization, and governance of enterprise automation and AI platforms.
• Define and maintain environment strategies across development, testing, and production.
• Establish policies for data protection, integrations, connectors, access controls, and platform usage.
• Manage the lifecycle of automated workflows, applications, virtual agents, and AI solutions from development through retirement.
• Develop standards that promote solution reuse, maintainability, scalability, and operational reliability.
• Integrate automation and AI solutions with cloud services, APIs, identity platforms, and enterprise applications.
• Monitor platform usage, solution performance, capacity, adoption, licensing, and operating costs.
• Identify opportunities to consolidate solutions, eliminate redundancy, and improve platform efficiency.
• Ensure solutions meet organizational security, privacy, compliance, and audit requirements.
• Partner with cybersecurity teams to enforce least-privilege access and manage data-exposure risks.
• Define intake, evaluation, approval, and prioritization processes for automation and AI use cases.
• Provide guidance to technical and business teams on platform standards, development practices, and governance requirements.
• Collaborate with infrastructure, security, application, and business stakeholders to translate requirements into secure and scalable solutions.
• Balance platform governance and risk management with business enablement and innovation.

Qualifications

• Bachelor''s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience.
• 5+ years of experience supporting enterprise productivity, automation, cloud, or AI platforms.
• Hands-on experience with low-code application development, workflow automation, data platforms, conversational agents, or similar technologies.
• Strong understanding of cloud productivity environments and their integration with collaboration, content-management, messaging, and identity services.
• Experience with role-based access control, application registrations, service identities, and enterprise authentication.
• Knowledge of generative AI services, model integration, API-based AI capabilities, and prompt design.
• Experience integrating systems through REST APIs, enterprise APIs, OAuth, and managed identities.
• Strong understanding of platform governance, deployment, security, compliance, lifecycle management, and risk-management practices.
• Proven ability to define standards for solution development, reuse, scalability, and operational support.
• Experience advising stakeholders on AI and automation strategy, governance, and responsible adoption.
• Strong communication and cross-functional collaboration skills.
• Familiarity with data-loss prevention policies, environment management, connector controls, and application lifecycle practices.