Job Title: Senior Manager IT, Generative AI Engineer

Introduction to role:
Are you ready to lead the charge in transforming business challenges into innovative solutions? Play a pivotal role as a Senior Manager in Alexion IT RDU by working with the IT Director of Data Science. Your mission? To lead technically and strategically in crafting and deploying brand new Machine Learning solutions, with a particular emphasis on Generative AI. Your expertise will be key in architecting, scaling, and deploying impactful AI models that drive our business forward.

Accountabilities:
- Lead the development and refinement of Generative AI systems and applications using brand new models to tackle complex business problems.
- Drive the design, development, and continuous improvement of robust infrastructure and tools for Machine Learning and Generative AI models, ensuring scalability and efficiency.
- Provide technical mentorship for the full lifecycle development of Generative AI agents, from conceptualization to deployment, ensuring meaningful, reliable, and secure interactions.
- Architect and lead the integration of pre-trained Generative AI models into custom applications to enable innovative functionalities and enhance existing capabilities.
- Work with senior engineers to craft interactive systems using Generative AI for dynamic content or decision support, encouraging innovation and standard methodologies.
- Build and optimize scalable and resilient infrastructure for running Generative AI applications in production, ensuring high performance, cost-efficiency, and reliability.
- Oversee the implementation of user interfaces or API endpoints for seamless interaction with Generative AI functionalities, ensuring a positive user experience.
- Design and oversee data pipelines and preprocessing steps for feeding Generative AI models with high-quality data for generation tasks.
- Define, implement, and monitor the operational health and performance of Generative AI applications in production, driving continuous improvement based on performance metrics.
- Contribute to the development of assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices.
- Engage with diverse stakeholders to translate complex business needs into clear technical requirements, gather feedback, and iteratively drive improvements for Generative AI applications.
- Support the integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance.
- Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements.

Essential Skills/Experience:
- Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field
- 6+ years of experience in Machine Learning, data science, or software development
- Strong understanding and practical experience with advanced ML Engineering concepts and tools, including Docker/containerization, orchestration (e.g., Kubernetes), and robust MLOps practices for end-to-end model lifecycle management
- Demonstrated experience designing, implementing, and optimizing robust CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Bitbucket pipelines for automated ML model deployment and continuous integration
- Proficiency in Python programming, coupled with deep experience in utilizing and optimizing leading ML libraries such as TensorFlow, Keras, or PyTorch for complex Generative AI applications and research
- Experience with cloud computing platforms, such as AWS, Azure or GCP
- Comprehensive understanding of software engineering principles, design patterns, and best practices (e.g., modular design, testing, code review), with proven experience leading or significantly contributing within agile development methodologies
- Proficient in communication and collaboration, eager for diverse team work, articulate technical concepts to diverse groups, motivate teams to achieve project goals.
- Proactive and eager to learn with strong analytical and problem-solving skills

Desirable Skills/Experience:
- Experience in the pharmaceutical industry or related fields
- Master’s or PhD degree in a related field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative subject area)
- Proven track record of successfully leading and delivering complex, production-grade Generative AI projects from ideation and research to deployment and operationalization

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. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca's Alexion division, your career journey is intertwined with a mission that truly matters. Our passion drives us to innovate continuously while creating meaningful value. Here you will find an energizing culture where connections are built to explore new ideas. With tailored development programs designed not just for skill enhancement but also for fostering a deep understanding of our patient's journeys. You will be part of a community that celebrates diversity and innovation while making a difference where it truly counts.

Ready to make an impact? Apply now to join our team!

Date Posted

Closing Date

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 lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (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 an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.