Generative AI Platform Architect – Evinova
AI summary of the role
Architect and oversee the global cloud ML/AI infrastructure for Evinova, a health-tech subsidiary of AstraZeneca, focusing on Generative AI, agentic systems, and LLM operations on AWS.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Architect and implement scalable AWS agentic GenAI cloud infrastructure in a multi-tenant SaaS environment.
- Establish governance frameworks for agentic GenAI infrastructure management and ensure compliance with industry best practices.
- Employ tools like AWS CDK (TypeScript), Projen, and Argo CD to automate infrastructure deployment and management.
- Conduct cost-benefit analyses and formal processes for selection and utilization of foundation models.
What you’ll bring
- Minimum of 10 years in cloud infrastructure design and management roles.
- Expert in Typescript, AWS CDK, Projen, and Argo CD and other Cloud Infrastructure CI/CD Tools.
- Deep knowledge of AWS services (Bedrock, SageMaker, EC2, S3, RDS, Lambda, etc) and hands-on design of cloud systems.
- Extensive experience in managing Kubernetes clusters and/or ECS for GenAI workflows.
Technologies
AWS CDK · Projen · Argo CD · TypeScript · Python · Kubernetes · ECS · Bedrock · SageMaker · RAG
About AstraZeneca
Science-led biopharma developing and commercializing prescription medicines across oncology, chronic disease, respiratory/immunology, infectious disease, and rare disease, with AI-enabled R&D and global launch scale.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
Job Title: Generative AI Platform Architect – Evinova Location: Gaithersburg, MD 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 is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. Comprehensive relocation packages available for qualified candidates. 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-lead [... source excerpt omitted ...] ven 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 LLMO [... source excerpt omitted ...] uating 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 de
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