Lead Applied AI Architect

The Lead Applied AI Architect is the enterprise design authority for applied AI at Tampa General Hospital and is accountable for the architectural decisions that govern how AI agents and large language model (LLM)-based solutions are designed, built, integrated, and operated across the health system. Working within the Office of the Chief Medical Informatics and AI Strategy Officer and in partnership with the other IT divisions, the architect sets the reference architecture, engineering standards, and technical roadmap that internal AI development follows, and gives final technical sign-off before solutions enter independent validation and governance review. The role combines enterprise architecture accountability with hands-on engineering. The architect directs the technical work of Applied AI Engineers, serves as technical reviewer for vendor and third-party AI, and moves AI capabilities from prototype to governed production in partnership with data science, informatics, cybersecurity, and clinical leaders. This role is responsible for performing job duties in accordance with the mission, vision, and values of Tampa General Hospital.Essential Functions\:

• Lead the design, development, and optimization of AI agent architectures tailored for innovative and scalable solutions.
• Drive full-cycle machine learning model deployment, including data preprocessing, training, testing, and integration into production systems.
• Oversee the development and implementation of algorithms for natural language understanding (NLU), decision-making, and contextual reasoning.
• Collaborate with cross-functional teams to ensure seamless integration between AI platforms and existing enterprise systems.
• Mentor and guide a team of engineers and data scientists to enhance their technical skills and operational efficiency.
• Lead efforts in continuous improvement, including model retraining, A/B testing, and performance evaluation.
• Stay ahead of emerging trends in AI and machine learning to adapt and innovate in alignment with business needs.
• Establish and enforce best practices in code quality, documentation, and version control within AI projects.
• Conduct regular reviews and present findings or developments to stakeholders and senior leadership.
• Manage resources and prioritize tasks to meet project deadlines and alignment with strategic objectives.
• Ensure compliance with ethical AI practices and applicable legal standards in all development and deployment activities.
• Identify opportunities for leveraging AI to solve complex business challenges and drive operational efficiencies.