Job Title: Consultant - AI Support Engineer

Career Level - C3

Introduction to Role:
Join our AI Support Team at AstraZeneca, where we are responsible for supporting the level 1 and 2 post-production activities in the Enterprise AI team. As an AI support engineer, you will be the first respondent for any issues/requests raised post-production by users of the AI enterprises services. We are looking for an AI Support Engineer with industry-relevant experience delivering at scale Machine Learning or Data Science in the AWS cloud ecosystem. You will be part of a collaborative team of multidisciplinary engineers and together have the chance to work on tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe.

Accountabilities:
As an AI Support Engineer, you will collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges. You will need to work with them to triage and resolve issues ranging from developmental to production. You will also work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to establish and work within security guardrails without obstructing end-user productivity. 

Essential Skills/Experience:
- Bsc/MSc/B.Tech/M.Tech degree in Computer Science or related quantitative or analytical field.
- 2-3 years of demonstratable experience working with AWS or equivalent cloud.
- 2-3 years of experience working with Kubernetes and container-based applications.
- 3 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.
- 3 years or more of experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.
- Experience working in an Agile team.
- Experience in working in a support environment or an understanding of ITIL framework.
- Experience working with internal security standards and frameworks.
- Experience leveraging DevOps to enable automation strategies.

- 2 or more years of demonstratable experience with the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code.
- 2 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.

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, we dare to lead, applying our problem-solving mindset to identify and tackle opportunities across the whole enterprise. Our spirit of experimentation is lived every day through our events like hackathons. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science. We optimise and revolutionise

AstraZeneca by maximising efficiencies and finding new ways to drive productivity. From automation to data simplification.

Are you ready to disrupt an industry and change lives? Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make the impossible possible by building partnerships and ecosystems, creating new ways of working and driving scale and speed to deliver exponential growth. Apply now!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.