As a Director, RDU IT AI, youll spearhead the technical delivery and implementation of cutting-edge AI solutions. Reporting to the Director, RDU IT Data Science, youll manage and mentor engineering teams while actively contributing to the development, deployment, and scaling of GenAI capabilities. Your missionTo integrate these advanced tools into real-world business and scientific applications, ensuring technical excellence, operational reliability, and ethical alignment. Are you up for the challenge
Accountabilities:
- Lead the development, deployment, and continuous improvement of Generative AI models and systems addressing business and scientific challenges. - Manage regional teams of engineers and technical contributors working on GenAI initiatives. - Oversee the architecture, automation, and scalability of infrastructure supporting Generative AI models and services. - Drive the integration of GenAI capabilities into existing enterprise platforms, tools, and applications. - Ensure smooth operation and governance of GenAI models in production, including monitoring, versioning, and performance optimization. - Contribute to the design of APIs, UIs, and workflows that enable seamless interaction with GenAI systems. - Build and maintain shared assets, templates, and frameworks to accelerate GenAI solution delivery across the region. - Support collaboration across functions with data scientists, engineers, and interested parties to align on delivery goals and priorities. - Promote responsible use of AI technologies and contribute to compliance with evolving governance and regulatory requirements.
Essential Skills/Experience:
- Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related technical field. - 10+ years of experience in machine learning, data science, or software engineering, with a strong track record of delivering AI solutions in production. - Demonstrated expertise in Generative AI, including experience with large language models (LLMs), prompt engineering, fine-tuning, or building GenAI-powered applications. - Proven leadership experience managing technical teams, with the ability to coach, mentor, and guide engineers toward high-performance delivery. - Proficient in translating technical concepts into actionable plans, effectively communicating with collaborators, and aligning engineering efforts with organizational objectives. - Experience working across regions or distributed teams, with a collaborative and inclusive leadership style. - Hands-on experience with MLOps practices for GenAI, including model deployment, automation, monitoring, and lifecycle management. - Proficiency in Python and experience with libraries such as Hugging Face Transformers, LangChain, TensorFlow, or PyTorch. - Solid knowledge of cloud services relevant to GenAI, especially AWS based (e.g., SageMaker, Bedrock, Lambda, ECS). - Familiarity with CI/CD pipelines and version control tools such as GitHub Actions, Jenkins, or Bitbucket Pipelines.
Desirable Skills/Experience:
- Hands-on experience designing and deploying LLM-based systems in enterprise settings, including use cases such as content generation, summarization, document parsing, or chat-based interfaces. - Deep understanding of the unique challenges in managing GenAI models, including context window limitations, hallucination risks, and performance tuning. - Experience applying GenAI techniques within the pharmaceutical, biotechnology, or healthcare domains. - Familiarity with emerging best practices for responsible GenAI usage, including model explainability, prompt safety, and ethical risk mitigation. - Contribution to GenAI-focused communities, open-source projects, or thought leadership (e.g., publications, hackathons, blog posts).
