Senior AI Engineer

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe. 

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. 

Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention. 

We are seeking a Senior AI (Artificial Intelligence) Engineer to join our team and work toward innovative AI research as elegant, enterprise-ready products. As an AI Engineer, you will be responsible for developing efficient and scalable processes, automating our processes through devops, gitops, and mlops automation and both designing and implementing interfaces to our products.  

Key Accountabilities: 

• Contribute to software engineering standards within the team and develop documentation and artifacts that make it simple to apply to new or existing projects.  

• Develop user friendly and intuitive interfaces to our products. 

• Take the initiative in designing and implementing solutions to drive down costs and environmental impact by automating processes through devops, gitops, and mlops automation. Educate people about how to use these solutions in their everyday work. 

• Work collaboratively with cross-functional teams to deliver projects on time and to the highest standards.  

Essential Skills and Experience: 

• Demonstrable record of accomplishment of implementing software engineering best practices. 

• Demonstrable experience entire machine learning lifecycle. 

• Demonstrable experience with front-end design and UX. 

• Exposure to Kubernetes and deployment of tools in that context. 

• Demonstrable experience collaborating with teams that have different competences. 

• A tertiary qualification in a relevant area or demonstrable, equivalent achievements outside academia. 

• Work experience in the area. 

Desirable Skills and Experience: 

• Experience working in a domain subject to regulatory oversight. 

• Experience working in a scientific research environment. 

• Understanding of the pharmaceutical industry and its processes. 

Great People want to Work with us! Find out why: 

• GTAA Top Employer Award for 10 years 

• Top 100 Employers Award 

• Canada’s Most Admired Corporate Culture 

• Learn more about working with us in Canada 

• View our YouTube channel 

Are you interested in working at AZ, apply today! 

AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by  emailing AZCHumanResources@astrazeneca.com. 

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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.