AI Engineer I

About the Role

AI Engineer I on the AI Engineering team, splitting time between junior AI engineering work and day-to-day administration of content management systems. Reports directly to the AI Engineering Manager.

Key Responsibilities

AI Engineering Support:

• Assist senior AI engineers with building, testing, and documenting AI-enabled solutions: lightweight automations, prompt and workflow design, and integrations with line-of-business systems.
• Support administration of the Claude Enterprise environment, including user provisioning, role-based access, and basic usage monitoring.
• Help maintain the department's reusable tooling, templates, and playbooks.
• Write basic scripts or Power Automate flows to connect AI tools, SharePoint, NetDocuments, and other business systems.
• Contribute to intake tracking, status reporting, and documentation for AIE engagements.

Content Management Systems Administration:

• Administer SharePoint Online: site and library provisioning, permissions, information architecture, retention and records policies, and Lists.
• Administer NetDocuments: workspace and cabinet configuration, user and group permissions, profile management, and third-party integrations.
• Serve as the first point of contact (tier-1/tier-2) for content management system issues and access requests across NMS Group's affiliate entities.
• Support related Microsoft 365 administration tasks (Entra ID groups, licensing, basic tenant settings).
• Maintain clear, current documentation of CMS configurations, standard operating procedures, and governance policies.

Requirements & Tech Stack

• 0–2 years of professional experience in IT, systems administration, or software/AI engineering.
• Internship, coursework, or self-directed projects in AI/ML are a plus.
• Working knowledge of, or demonstrated aptitude to quickly learn, SharePoint Online administration and a document management system such as NetDocuments.
• Basic scripting ability (Python, PowerShell, or Power Automate) and comfort working with APIs.
• Genuine interest in applied AI: hands-on experience with LLM tools (Claude, ChatGPT, or similar) and curiosity about prompt engineering and AI-enabled workflows.
• Strong documentation and communication skills.
• Detail-oriented and organized, with the ability to manage multiple support requests and small projects.

Nice to Have

• Familiarity with Microsoft Entra ID and the M365 admin center.
• Exposure to Jira and Confluence administration.
• Coursework or project experience involving retrieval-augmented generation, agentic workflows, or automation platforms.
• Experience in a regulated or multi-entity environment where data isolation and governance are first-class concerns.