Director, RDU IT - AI

About the Company

Responsibilities

• ● and application platforms , using healthcare data and modern technologies to advance business and scientific innovation.
• ● You will lead multidisciplinary teams, build trusted relationships with business and technology stakeholders, and communicate technical solutions clearly to audiences at all levels. You will also oversee delivery partners and service providers to ensure quality, alignment, and value.
• ● Reporting to the Senior Director, RDU IT - Data & AI , you will lead the implementation and delivery of AI solutions while managing, mentoring, and contributing alongside engineering teams. You will guide the development, deployment, integration, and scaling of AI capabilities across business and scientific applications, with a strong focus on technical excellence, operational reliability, security, and responsible AI .
• ● You will be responsible for :
• ● Lead the development, deployment, and continuous improvement of scalable AI models and systems that address priority business and scientific challenges
• ● Manage, mentor, and develop regional engineering teams, fostering high performance and effective collaboration across geographies
• ● Provide technical leadership across the full solution lifecycle, from discovery and architecture through implementation, delivery, and ongoing optimization
• ● Oversee the architecture, automation, scalability, and operational reliability of AI infrastructure, models, services, and analytical platforms
• ● Integrate AI capabilities into enterprise platforms, applications, agents, APIs, user interfaces, and workflows to enable seamless adoption and measurable value
• ● Establish reusable assets, templates, frameworks, and delivery methods that accelerate high-quality AI solutions across the value chain
• ● Partner with business leaders, data scientists, engineers, and subject matter experts to identify opportunities, structure problems, align priorities, and translate data-driven insights into action
• ● Ensure responsible, secure, and compliant use of AI through effective production governance, monitoring, versioning, performance management, and alignment with evolving regulatory requirements
• ● You will need to have:
• ● Bachelor's or Master's degree in Computer Science , Engineering, Mathematics, or a related technical field
• ● Proven experience delivering production AI, machine learning, data science, or software engineering solutions, including large language models, prompt engineering, fine-tuning, and AI-powered applications
• ● Hands-on proficiency in Python and leading AI frameworks such as Hugging Face Transformers, LangChain , TensorFlow, or PyTorch , with working knowledge of SQL and analytical methods
• ● Strong MLOps and software delivery experience, including automated deployment, monitoring, lifecycle management, CI/CD, version control, containerization, and scalable production operations
• ● Solid knowledge of cloud-based AI and data architectures , especially AWS services, web services, data lakes, serverless technologies, Kubernetes, and elastic compute environments
• ● Demonstrated leadership of geographically distributed technical teams, with the ability to coach talent, manage multiple priorities, and collaborate effectively across functions
• ● Advanced analytical, modeling, and problem-solving capabilities, including selecting and evaluating appropriate methods , extracting insights from large datasets, and anticipating emerging business and technology trends