Enterprise AI Platform Engineer (Hybrid)

Duke Careers

Durham (NC)

Hybrid

USD 120,000 - 160,000

Full time

2 days ago

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Job summary

Duke University’s Office of Information Technology (OIT) seeks a Systems Engineer, Enterprise AI & Platform Services, to shape the enterprise AI portfolio and enable safe, scalable adoption across higher education, healthcare, and research. You will work as a technical service owner for AI platforms, collaborating with stakeholders to advance governance and responsible AI use.

You’ll monitor platform performance, drive roadmaps, and develop training and automation using PowerShell and Python,

Qualifications

Bachelor's degree in Information Technology, Computer Science, Information Systems, Business, Engineering, or a related field.
Three years of experience supporting enterprise technology platforms, SaaS services, AI technologies, cloud services, digital workplace technologies, or related technical environments.
An equivalent combination of relevant education and experience.
Experience supporting enterprise AI platforms such as Microsoft Copilot, ChatGPT Enterprise, Anthropic Claude, Google Gemini, GitHub Copilot, or similar technologies.
Experience with cloud and SaaS platforms, including Microsoft 365, Azure, AWS, Box, Zoom, Airtable, or GitHub Enterprise.
Experience with AI governance, risk management, security reviews, automation, APIs, PowerShell, Python, and ITIL-based service management.
Experience working in higher education, healthcare, or research environments.

Responsibilities

Serve as the technical service owner for Duke's enterprise AI platforms, including platform administration, licensing, access management, integrations, and operational support.
Monitor platform performance, adoption, usage trends, and emerging technologies while helping develop AI service roadmaps and implementation strategies.
Partner with security, privacy, compliance, legal, and data governance teams to support responsible AI deployment and governance.
Consult with departments on AI adoption opportunities and develop training materials, workshops, and educational resources that promote AI literacy and best practices.
Build automation and integration solutions using AI technologies, APIs, workflow tools, PowerShell, Python, and related platforms.
Support enterprise cloud and SaaS services, including Microsoft 365, Azure, AWS, Box, Zoom, Airtable, GitHub Enterprise, and related technologies.
Support service improvement initiatives, maintain documentation, track service metrics, and coordinate with vendors and stakeholders to ensure successful service delivery.