Project Manager

• Provide the following services in support of AI adoption: Evaluate generative AI capabilities to understand their effectiveness and conduct assessments of GenAI tools.
• Facilitate the identification of GenAI use-cases that support common needs or organization specific business requirements.
• Support the evaluation of AI models for vulnerabilities, e.g., adversarial attacks, model drift, data poisoning, bias, hallucinations, prompt injection, and privacy leaks.
• Support the integration and testing of APIs, connectors, and new tools, helping evaluate basic functionality, reliability, and user readiness.
• Assist with user onboarding and access management, including helping set up accounts, permissions, workspace configurations, and basic cluster settings.
• Support the configuration and upkeep of AI Lab environments, including clusters, libraries, runtimes, and workspace components used for data and AI experimentation.
• Assist with the development and maintain simple data preparation workflows and reusable notebooks that enable users to ingest, transform, and work with data in the AI Lab.
• Assist with the configuration and update of dashboards and reports that provide insight into Lab usage, computer consumption, cost trends, training participation, and user activity.
• Provide user assistance and troubleshooting, helping resolve common issues related to notebooks, clusters, access, environment configuration, and workflow execution.
• Assist with applying compute and cost-management practices, such as autoscaling, right-sizing, and idle cluster cleanup, to support efficient use of Lab resources.
• Contribute to documentation and user-enablement materials, and participate in demos, working groups, and collaborative testing activities to support Lab adoption and improvement.
• Provide basic “consulting-style” support to non-technical users, helping them understand how to use Lab tools, select appropriate workflows, and apply the Lab’s capabilities to real mission or business problems.
• Assist with Lab awareness, outreach, and adoption activities, including preparing simple demos, showcasing example projects, gathering adoption metrics, and helping communicate Lab successes to broaden visibility and engagement.

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