Job Title: IT Manager, Generative AI Engineer

Introduction to role:
Are you ready to lead the charge in revolutionizing AI solutions? As an IT Manager specializing in Generative AI Engineering, you'll be at the forefront of innovation within Alexion's IT RDU organization. Reporting to the IT Director of Data Science, your mission will be to develop and implement cutting-edge Machine Learning solutions, with a keen focus on Generative AI. Your contributions will be pivotal in scaling and deploying AI models that tackle our most pressing business challenges. Are you up for the challenge?

Accountabilities:
- Lead the development and refinement of Generative AI systems and applications using state-of-the-art models to solve complex business problems.
- Contribute to the development and maintenance of MLOps infrastructure and tools for Machine Learning and Generative AI models.
- Participate in the full lifecycle development of Generative AI agents, ensuring meaningful interaction with users or environments.
- Support the integration of pre-trained Generative AI models into custom applications for new functionalities.
- Collaborate with senior engineers to design interactive systems utilizing Generative AI for dynamic content or decision support.
- Contribute to building and maintaining infrastructure for running Generative AI applications.
- Aid in implementing user interfaces or API endpoints for seamless interaction with Generative AI functionalities.
- Assist with data pipelines and preprocessing steps for feeding Generative AI models with appropriate data.
- Help monitor the operational health of Generative AI applications in production, identifying areas for improvement or optimization.
- Contribute to developing assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices.
- Engage with stakeholders to gather feedback and iteratively improve Generative AI applications' features and capabilities.
- 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
- 3+ years of experience in Machine Learning, data science, or software development
- Familiarity with ML Engineering concepts and tools, including Docker/containerization, and basic model upkeep
- Exposure to CICD practices and familiarity with tools such as GitHub Actions, Jenkins, or Bitbucket pipelines
- Experience with Python and familiarity with ML libraries such as Tensorflow, Keras, or PyTorch
- Experience with cloud computing platforms, such as AWS, Azure or GCP
- Understanding of software engineering principles and exposure to agile methodologies
- Good communication and collaboration skills, with enthusiasm for working in a cross-functional team environment
- 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 degree in a related field or ongoing education towards an advanced degree
- Strong knowledge of AI techniques and tools, including NLP, optimization, and deep learning

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, you'll find an environment where innovation thrives. Our commitment to rare diseases means your work will have a profound impact on patients' lives. With a rapidly expanding portfolio, you'll enjoy the entrepreneurial spirit of a leading biotech combined with the resources of a global biopharma. Here, your career is not just a path but a journey filled with opportunities for growth and connection.

Ready to make a difference? Apply now and join us on this exciting journey!

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.