Overview Job Title: Director, ML/AI Cloud Engineering - Evinova Location: Gaithersburg, MD At AstraZeneca, we pride ourselves on a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation. We offer individualized flexibility to balance personal and work commitments while maintaining a strong culture of collaboration and teamwork with in-person engagement in our offices three days a week. Join Evinova, a global health tech business that is a fully-owned subsidiary of AstraZeneca Group. We are building a new health-tech business and delivering market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. We aim to accelerate innovation in the life sciences sector by combining deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community. Introduction to Role: The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed team that will spearhead the design, creation, and operational excellence of our ML/AI data and computational AWS ecosystem to catalyze science-led innovations. This team will partner with data scientists and AI engineers to implement, deploy, and monitor AI solutions. We manage ML/AI and broader cloud resources, automate operations through infrastructure-as-code and CI/CD pipelines, and strive to exceed industry standards such as Good Clinical Practices (GCP) and Good Machine Learning Practice (GMLP). As our Director, ML/AI Cloud Engineering, you will architect and oversee the global cloud ML/AI infrastructure that underpins our ML/AI value proposition. You will design, implement, and manage scalable cloud solutions using AWS services, establish ML/AI governance frameworks, automate infrastructure with tools like AWS CDK and Projen, and conduct cost-benefit analyses of foundation models to drive strategic decisions. You will design and scale innovative AI capabilities for our products and operations. You will specialize in AWS services (e.g., SageMaker, Bedrock, Lex, OpenSearch) and modern AI platforms and stacks, using the latest frameworks and methodologies in Generative AI to create real business value. Your expertise in AWS cloud infrastructure, DevOps, Foundation Models (FMs), prompt engineering, RAG, and LLMOps tools (DSPy, Letta, LlamaIndex, LangChain) will be pivotal in enhancing our AI capabilities and driving innovation. This role requires a deep understanding of cloud-native ML/AI Ops methodologies and technologies, AWS infrastructure, and the unique demands of regulated industries, making it a cornerstone of delivering impactful solutions to the pharmaceutical industry. You will also lead a global ML/AI Operations team consisting of 4 to 6 engineers. Accountabilities:

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