Director, RDU IT - AI

Job Title: Director RDU IT - AI

Introduction to role:

Are you ready to lead the charge in transforming digital landscapes with Generative AI As the Director RDU IT - AI you will spearhead the technical delivery and implementation of cutting-edge AI solutions. Reporting to the Director RDU IT Data Science you will guide and mentor engineering teams while actively contributing to the development and scaling of GenAI capabilities. Your mission is to integrate these advanced tools into real-world business and scientific applications ensuring they meet the highest standards of technical excellence operational reliability and ethical alignment.

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 multi-functional collaboration with data scientists engineers and customers 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:

- Bachelors or Masters 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
- Strong ability to translate technical concepts into actionable plans communicate effectively with stakeholders and align 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
- Understanding standard methodologies for responsible GenAI usage including model explainability timely safety and ethical risk mitigation
- Contribution to GenAI-focused communities open-source projects or thought leadership (e.g. publications hackathons blog posts)

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZenecas Alexion division your work will be anything but ordinary. Here you will find an environment where innovation thrives alongside a commitment to transforming lives through science. Our dedication to rare diseases places us at the forefront of biomedical advancements. With a global reach and resources at your disposal youll be part of a team that is not only shaping the future of medicine but also making a tangible difference in patients lives. Our culture is one of inclusivity and empowerment where your growth is aligned with our mission to meet unmet medical needs.

If youre ready to make an impact in a dynamic field that truly mattersapply now!

Date Posted

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Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment training compensation promotion and other terms and conditions of employment based on race color religion creed or lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (including childbirth breastfeeding or related medical conditions) parental status (including adoption or surrogacy) military status protected veteran status disability medical condition gender identity or expression genetic information mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.