About AstraZenecaAstraZeneca offers the chance to disrupt an industry while working on technology that directly supports life-changing medicines. Here data, analytics, AI and modern engineering come together with science to unlock new possibilities for patients. The environment is dynamic and hands-on: experiment with leading-edge platforms, shape new ways of working at scale, learn continuously through collaboration with diverse experts, hackathons and external partnerships, and see the impact of decisions across a truly global enterprise backed by strong investment in digital transformation.About the AI Platforms TeamThe Enterprise AI Platforms and Technologies Team is responsible for building, developing, and maintaining the AI platforms that power AstraZeneca's ambition to use AI in every step of the value chain—from discovering new compounds to patient safety systems. We are at the forefront of innovation, ensuring we introduce the latest and best technology quickly in a scalable manner.Our mission is to empower AI scientists and engineers across the enterprise by managing all infrastructure and platform operations. We build, develop, and maintain:Cloud Native infrastructure and automationVendor platforms including Domino, Databricks, and DataikuHome-grown AI and data science platforms tailored to our enterprise needsAbout the RoleAs an Associate Principal AI Platform Engineer, you will drive individual work packages within our platform ecosystem, taking ownership of specific initiatives and ensuring their successful delivery. You will work closely with vendor partners (Domino, Databricks, Dataiku, etc.), internal stakeholders, and our key customer teams (AI scientists and engineers) to design, implement, and optimize platform capabilities.You will report to the Principal AI Platform Engineer and/or Product Owner, who owns the overall platform strategy and vision. Your role is critical in translating that vision into scalable, reliable, and user-centric platform components that accelerate research and drive innovation at scale.Key ResponsibilitiesPlatform Architecture & DesignDesign, implement, and manage cloud infrastructure on AWS using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormationEnsure platform reliability, scalability, and high availability across development, staging, and production environmentsDesign multi-tenant, secure, and compliant infrastructure that meets enterprise security and governance standardsVendor Integration & Feature AssessmentEvaluate, integrate, and optimize vendor platforms (Domino, Databricks, Dataiku, etc.) for enterprise use at scaleAssess new vendor features and capabilities; develop proof-of-concepts and evaluate business value, technical feasibility, and integration impactPlan and execute the implementation of approved vendor features, ensuring minimal disruption to production environments and seamless integration with existing platform componentsServe as the primary technical contact and liaison with vendor partners, managing technical escalations, roadmap discussions, implementation support, and feature roadmap alignmentStay current with vendor product innovations and advise on adoption of cutting-edge features and capabilities to ensure AstraZeneca remains at the forefront of technologyPlatform Ecosystem IntegrationDesign and implement seamless integrations between AI platforms and enterprise data systems, including AWS S3, Snowflake, and other data warehousesIntegrate data governance and access control tools (Immuta, Collibra, etc.) with AI platforms to ensure secure,



compliant access to datasetsBuild data pipelines and connectors that enable smooth data flow between platforms while maintaining data lineage, quality, and security standardsEnsure the platform ecosystem operates as a seamless, integrated whole, minimizing friction for data scientists and engineers when accessing data and deploying modelsDeployment Automation & Operational ExcellenceAutomate all deployment activities across the platform ecosystem using CI/CD tools (GitHub Actions, AWS CodePipeline, Jenkins, ArgoCD) to ensure rapid, reliable, and repeatable deploymentsDevelop and maintain deployment pipelines for platform updates, vendor platform upgrades, and application deployments to minimize manual effort and reduce deployment riskAutomate operational tasks, environment provisioning, configuration management, and infrastructure scaling using scripting languages such as Python, Bash, or PowerShellImplement automated testing, validation, and rollback strategies to ensure high-quality deployments and rapid incident recoveryWork Package Ownership & ExecutionTake full ownership of assigned platform work packages, from planning and design through implementation and deploymentPlan, estimate, and schedule work; identify dependencies with other platform components, vendor deliverables, and enterprise initiativesManage dependencies and coordinate across vendor partners, internal teams, and key stakeholder groupsCommunicate progress, risks, and blockers transparently to your manager and stakeholdersPlatform Operations & DevOpsEnable and maintain machine learning environments (Databricks, Domino, etc.) for scalable ML model training, hosting, and pipelinesImplement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring, alerting, and platform insightsSupport container orchestration environments using EKS (Kubernetes), ECS, or FargateSecurity, Compliance & GovernanceCollaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimizationEnsure platform configurations and vendor integrations comply with enterprise security, data governance, and regulatory standardsManage and publish curated infrastructure templates through AWS Service Catalogue and platform portals to enable consistent and compliant provisioningStakeholder Engagement & SupportEngage with key customer teams (AI scientists and engineers) to understand their needs and translate them into platform capabilitiesProvide technical guidance and support to platform users; gather feedback to inform platform roadmap and improvementsContribute to incident response, post-mortems, and continuous improvement of the platform's operational excellenceRequired Skills & QualificationsEducationBachelor's degree in Computer Science, Engineering, or related field (or equivalent professional experience)Platform Engineering5+ years of hands-on experience with AWS cloud services (compute, storage, networking, IAM, cost controls)Strong experience with Terraform, AWS CDK, or CloudFormationProficiency in Linux system administration and networking fundamentals (VPC design, security groups, load balancing)Solid understanding of IAM policies, encryption, and security best practicesExperience with Docker and container orchestration using Kubernetes (EKS preferred) or ECS/FargateHands-on experience with CI/CD tools (GitHub Actions, Jenkins,



ArgoCD, AWS CodePipeline) and version control (Git)Experience supporting AI/ML workloadsHands-on experience with serverless technologiesExperience with LLM, RAG architectures, vector databases, and generative AI platformsExperience administering or deploying Domino, Databricks, or Dataiku platforms or other vendor platforms at scale.Background in Agile with platform or product-focused delivery experienceSoftware Development & ScriptingProficiency in Python, Bash, or PowerShell for automation and scriptingAbility to write clean, efficient, and maintainable infrastructure codeExperience with monitoring, logging, and alerting systems (CloudWatch, Prometheus/Grafana, ELK)Data Integration & Data GovernanceExperience integrating data platforms and data warehouses (e.g., AWS S3, Snowflake, Redshift)Familiarity with data governance tools and platforms (e.g., Immuta, Collibra, or similar solutions)Understanding of data lineage, data quality, and secure data access patternsVendor & Industry KnowledgeQuick learner with ability to rapidly acquire knowledge of new vendor platforms and toolsAwareness of current industry trends and innovations in ML/AI platforms and data engineeringFamiliarity with vendor products in the ML/AI space (experience with or demonstrated knowledge of Databricks, Domino, Dataiku, or similar platforms is a plus)Soft SkillsStrong troubleshooting and problem-solving skillsExcellent written and verbal communication skills, with ability to communicate complex technical concepts to diverse audiencesCollaborative mindset with ability to work effectively across teams, vendors, and stakeholdersAbility to take ownership of work packages and drive them to completion with minimal supervisionWhy Join Us?Work at the forefront of AI innovation in healthcare, supporting life-changing medicines and patient outcomesOwn meaningful platform work packages and see your contributions directly impact AI scientists and engineers globallyCollaborate with a passionate, multidisciplinary engineering team and learn from world-class technical leadersInfluence platform strategy and architecture in partnership with your manager and peersWork with cutting-edge cloud, vendor, and open-source technologies; shape how we adopt innovationContinuous learning opportunities through hackathons, external partnerships, and professional developmentExcellent work culture, global team, and strong investment in digital transformation across AstraZenecaWhen we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not versátil. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.Date Posted14-ago-2026Closing Date28-ago-2026AstraZeneca 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.SummaryLocation: Spain - BarcelonaType: Full time

📌 Associate Principal AI Platform Engineer (Barcelona)
🏢 AstraZeneca
📍 Barcelona