Job Title: Lead Consultant – Enterprise AI Platforms

Career Level - E

Introduction to Role:
Join us at AstraZeneca as a Senior AI Platform Engineer, where you will be part of a new, collaborative team of multidisciplinary engineers. You will have the chance to create tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe. Our data science environments will support major AI initiatives such as clinical trial data analysis, knowledge graphs, patient safety systems, deep learning-led drug discovery, and software as a medical device for our therapy areas.

Accountabilities:
As a Lead Consultant, you will collaborate closely with data science teams to design, deploy and manage the Kubernetes platform for Machine Learning. You will provide the necessary infrastructure and platform to support the deployment and monitoring of ML solutions in production. You will also liaise with BTG data scientists to understand their challenges and work with them to help productionise ML pipelines, models and algorithms for innovative science.

Essential Skills/Experience:
- 12+ years’ or equivalent experience architecting and managing large Kubernetes clusters
- Experience of managing service mesh, such as Istio
- Experience of Kubernetes ML platforms and toolkits (Kubeflow)
- Knowledge on Linux/Shell scripting
- Experience with infrastructure as code technology such as Ansible, Terraform and Cloud Formation
- Strong software coding skills, with proficiency in Python
- Experience with system monitoring tools such as Grafana, Prometheus, Thanos, etc
- Experience with Continuous Integration and the building of continuous delivery pipelines, such as Helm, ArgoCD

- Experience with open-source and cloud-native Machine Learning Platforms and Toolkits
- Understanding of Kubernetes internal networking and its effect on the performance of multi-node GPU ML training
- Multi-cloud experience (AWS/Azure/GCP)
- Data storage experience with RDBMS and NoSQL technologies
- Experience in mentoring, coaching and supporting less experienced colleagues and clients.
- Experience with SAFe agile principles and practices.

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 are committed to making a meaningful impact. Our work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. 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.

Are you ready to disrupt an industry and change lives? Apply now to be part of our journey in becoming a digital and data-led enterprise.

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.