
Evinova provides digital health software to streamline clinical development for sites, sponsors, and CROs. Its Unified Trial Solution enables remote patient monitoring, connected devices, eConsent, eCOA, and telemedicine through a single integrated app. The Drug Development Suite uses data and AI to accelerate study design, portfolio management, and operational excellence, with strong security and global compliance. The platform integrates with EDC, safety, and CTMS systems and supports multiple therapeutic areas across 40+ countries, reducing patient burden and trial timelines.

Evinova provides digital health software to streamline clinical development for sites, sponsors, and CROs. Its Unified Trial Solution enables remote patient monitoring, connected devices, eConsent, eCOA, and telemedicine through a single integrated app. The Drug Development Suite uses data and AI to accelerate study design, portfolio management, and operational excellence, with strong security and global compliance. The platform integrates with EDC, safety, and CTMS systems and supports multiple therapeutic areas across 40+ countries, reducing patient burden and trial timelines.
Job Title: Generative AI Platform Architect – Evinova
Location: Toronto, ON
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 downtown Toronto Bluesky Hub office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle longstanding life sciences challenges? Then Evinova, a global health tech business might be for you!
Transform patients’ lives through technology, data, and innovative ways of working. You’re disruptive, decisive, and transformative. Someone excited to use technology to improve patients’ health. We’re building a new Health-tech business – Evinova, a fully-owned subsidiary of AstraZeneca Group.
Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we’re helping. Launch pioneering digital solutions that improve the patients’ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.
Introduction To Role The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed team will spearhead the design, creation, and operational excellence of our entire Generative AI, agentic systems, and LLM computational AWS ecosystem to catalyze and accelerate science led innovations.
This team is responsible and accountable for the design, implementation, deployment, health and performance of all algorithms, models, Generative AI operations (GenAI Ops, AIOps, and LLMOps) and Data Science Platform. We manage Generative AI and broader cloud resources, automating operations through infrastructure-as-code and CI/CD pipelines, and ensure best-in-class operations – striving to push even beyond mere compliance with industry standards such as Good Clinical Practices and Good Machine Learning Practice (GMLP).
As the Generative AI Platform Architect on our team, you will architect and oversee the global cloud ML/AI infrastructure that underpins our entire ML/AI value proposition. You will design, implement, and manage scalable cloud solutions using AWS services while establishing ML/AI governance frameworks, automating infrastructure with tools like AWS CDK and Projen, and conducting cost-benefit analyses of foundation models to drive strategic decisions across the organization.
This position requires a deep understanding of cloud-native Generative AI and LLMOps methodologies, AWS infrastructure, State-of-the-art (SOTA) Foundation Models, prompt engineering pipelines, retrieval-augmented generation (RAG) architectures, and AWS GenAI Services (Bedrock, SageMaker for LLMs), and the unique demands of regulated industries, making it a cornerstone of our success in delivering impactful solutions to the pharmaceutical industry.
Accountabilities Operational Excellence
Generative AI Cloud Operations and Engineering
Personal Attributes
Essential Skills/Experience
Where can I find out more?
Why Evinova? Evinova is a global health tech business, separate company part of the AstraZeneca group. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider life sciences community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey.
Annual base salary for this position ranges from $150,944.80 to $198,115.05. AstraZeneca is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The range provided in this posting represents an offer pay range used in a majority of situations. The base pay offered will vary depending on multiple individualized factors, including the candidate's skills and experience, job-related knowledge, and other specific business and organizational needs. In some cases, offers outside the range may also be considered to address unique circumstances.
In addition, our permanent positions offer an annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in our equity-based long-term incentive program (if applicable to role). Benefits offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days. Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.
We are using AI as part of the recruitment proces s. This advertisement relates to a current vacancy.
Date Posted 17-Jan-2026
Closing Date 30-Jan-2026
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.