• AI Enablement and Strategy: Lead organization-wide AI adoption and enablement initiatives. Identify opportunities to leverage AI tools to improve efficiency, accuracy, and productivity across business units. • Solution Design and Prototyping: Architect, configure, and prototype solutions using LLMs, APIs, and orchestration tools. Develop proof-of-concepts for department-specific AI use cases. • Systems Integration: Integrate AI capabilities into existing applications, workflows, and cloud environments (e.g., Azure, AWS). Manage connections between enterprise systems and AI platforms through APIs or automation layers. • AI Platform Management: Oversee configuration and operational support of platforms such as OpenAI, Anthropic, Zapier, and Make. • Security and Compliance Oversight: Ensure AI implementations adhere to internal policies and external standards, including HIPAA, ISO 27001/27002, and internal data governance frameworks. • Responsible AI and Risk Management: Implement and promote compliance with frameworks such as NIST AI RMF 1.0 and the EU AI Act. Conduct AI risk assessments and recommend mitigation controls. • Cross-Functional Collaboration: Partner with department heads and technical teams to evaluate requirements, recommend AI-enabled tools, and support implementation. • Education and Advocacy: Serve as a trusted AI advisor to business and technical leaders. Provide internal guidance, training, and documentation on AI tool usage, safety, and best practices. • Performance Monitoring: Establish metrics to evaluate AI-driven efficiency gains, user adoption, and business impact. • Vendor and Tool Evaluation: Continuously research, evaluate, and recommend new AI tools, frameworks, and integration strategies aligned with enterprise goals.