Generative AI Platform Architect – Evinova

AstraZeneca; Mississauga; Hybrid; CAD 130,000 - 160,000; Full time

Job summary

A global health tech enterprise seeks a Generative AI Platform Architect to lead in developing cloud-based solutions. The role demands extensive experience in cloud infrastructure and a solid understanding of AI methodologies. Candidate will build scalable AWS solutions, implement necessary governance frameworks, and collaborate across multiple teams to deliver impactful healthcare technology. Offering a hybrid work model, this position is pivotal in transforming patient care through advanced digital innovations.

Benefits

Flexible work hours

Health benefits

Professional development opportunities

Qualifications

• Minimum of 10 years in cloud infrastructure design and management roles.
• Deep understanding of the Data Science Lifecycle (DSLC).
• Experience with AWS services like S3, EC2, RDS.

Responsibilities

• Architect and implement scalable AWS GenAI cloud infrastructure.
• Drive operational excellence with a proactive capability and process enhancements.
• Conduct cost-benefit analyses for selection of foundation models.

Skills

AWS CDK

Python

Kubernetes

GenAI technologies

Cloud architecture

Education

HS Diploma with 8 years of experience in Engineering/IT solutions

BA/BS Degree with 6 years of experience

Tools

Argo CD

Projen

Job description

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

• Lead by example in creating high-performance, mission-focused and interdisciplinary teams/culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people.
• Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest.
• Design and implement resilient cloud Generative AI and agentic system operational capabilities to maximize our system A-bilities (Learnability, Flexibility, Extendibility, Interoperability, Scalability).
• Drive precision and systemic cost efficiency, optimized system performance, and risk mitigation with a data-driven strategy, comprehensive analytics, and predictive capabilities at the tree-and-forest level of our GenAI agent systems, workloads and processes.

Generative AI Cloud Operations and Engineering

• Architect and implement scalable AWS agentic GenAI cloud infrastructure in a multi-tenant SaaS environment.
• Deep understanding of challenges in deploying Generative AI applications and agents.
• Closely follow frontier developments in Generative AI and GenAI tooling, techniques, and technologies.
• Establish governance frameworks for agentic GenAI infrastructure management and ensure compliance with industry best practices.
• Ensure principled and methodical validation pathways and a Well Architected Framework for Embryonic Research (WAFER) similar to and building on AWS’s Well Architected Framework (WAF) for all early stage product and operational GenAI PoC’s across the organization.
• Oversee GenAI-related Kubernetes (k8s) cluster management and provide expertise on alternative GenAI workflow orchestration options such as Argo vs Kubeflow vs ECS vs AgentCore, and GenAI data pipeline creation, management and governance with tools like Airflow or others.
• Employ tools like AWS CDK (TypeScript), Projen, and Argo CD to automate infrastructure deployment and management.
• Help set the strategy and manage the tactical balance between framework and platform experimentation and democratization with standardization and centralized management and governance
• Conduct cost-benefit analyses and formal processes for selection and utilization of foundation models, evaluating their architectures, performance, and costs.
• Work with multiple teams to ensure that the platform meets organizational needs and scales effectively.

Personal Attributes

• Customer-obsessed and passionate about building products that solve real-world problems.
• Highly organized and detail-oriented, with the ability to manage multiple initiatives and deadlines.
• Collaborative and inclusive, fostering a positive team culture where creativity and innovation thrive.

Essential Skills/Experience

• HS Diploma and 8 years of experience in Engineering/IT solutions OR BA/BS Degree and 6 years of experience or equivalent capabilities.
• Minimum of 10 years in cloud infrastructure design and management roles.
• Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture.
• Expert in Typescript, AWS CDK, Projen, and Argo CD and other Cloud Infrastructure CI/CD Tools
• Strong familiarity with Python
• Extensive experience in managing Kubernetes clusters and/or ECS for GenAI workflows.
• Solid understanding of foundation models and their applications in GenAI solutions.
• Strong background in AWS DevOps practices and cloud architecture.
• Deep knowledge of AWS services (Bedrock, Sagemaker, EC2, S3, RDS, Lambda, etc) and hands‑on design and implementation of cloud systems (microservices architecture, API design, and database management (SQL/NoSQL))
• Experience with monitoring and optimizing cloud infrastructure for scalability and cost‑efficiency.
• Ability to collaborate effectively with engineering, design, product, science and security teams.
• Strong written and verbal communication skills for reporting and documentation.
• Demonstrated ability to manage large‑scale, complex projects across an organization.
• Proven experience in conducting performance and cost analyses of AWS infrastructure and ML/AI models.

Where can I find out more?

• 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

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.

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 [e-mail].

#LI-Hybrid

Date Posted: 17-Dec-2025

Closing Date: 20-Dec-2025

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.