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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director - Enterprise Ai Platforms - **Company:** AstraZeneca - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Cloud Computing, DevOps, Apache Hadoop, Python (Programming Language), Multiprocessing, Ansible, SQL Databases, Google Cloud, Apache Spark, Amazon Relational Database Service, AI Platforms, Information Technology, Machine Learning Operations, Software Coding, Terraform, Data Pipelines, GXP, Docker - **Published:** July 31, 2026 - **Apply:** https://www.buscojobs.com.es/senior-director-enterprise-ai-platforms-en-barcelona-ID-364237906 ## About the Role service providers, and professional services.Essential Skills / ExperienceExtensive experience (at least 5 years) in senior roles leading enterprise AI platforms, ML infrastructure, or developer platform products.Developing technical strategies and aligning with partners across a sophisticated global organization.Influencing and communicating strategy.Budget and resource management (FTE, outsourced service providers, professional services). Strong software coding skills, with proficiency in Python (exceptional ability in any language will be recognized). Experience leading an enterprise platform and service, handling new customer demand and feature requests.Experience leading a team of technical experts.Experience with SAFe agile principles and practices.Experience working with internal security standards and frameworks.B.S. degree or equivalent in Computer Science or related quantitative or analytical field.Significant experience with AWS cloud environments & services (e.g., SageMaker, Athena, S3, EC2, RDS, Glue). Proven knowledge of building data science and machine?learning environments to a production standard.Modern DevOps mentality, using best?of?breed DevOps toolchains such as Docker, Git.Experience with infrastructure?as?code technology such as Ansible, Terraform, Cloud Formation.Adapt standard machine?learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU). Desirable Skills / ExperienceExperience in implementing & maintaining GxP compliant life?science systems.Certification in appropriate areas.Experience building large?scale data processing pipelines (e.g., Hadoop, Spark, SQL). Multi?cloud experience (AWS, Azure, GCP). ## Description Location: Barcelona, SpainObtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado.Senior Director Enterprise AI PlatformsAt 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.We recognize the importance of individualized flexibility, allowing employees to balance personal and work commitments while ensuring a strong culture of collaboration and teamwork by engaging face?to?face in our offices 3 days a week.Our dedication to sustainability is also central to our culture.About the RoleOur goal is to build the enterprise AI platform that enables the next generation of pharmaceutical innovation.As the Senior Director Enterprise AI Platforms, you will be a key strategic leader driving the development and deployment of pioneering AI solutions within our global biopharmaceutical business.ResponsibilitiesOwn the complete vision for how scientists and developers build with AI at AstraZeneca, from core ML infrastructure to the tools, SDKs, and integrations that make AI accessible across every R&D environment.Build partnerships that extend our AI platform's reach through integrations, ecosystem programs, and distribution relationships with cloud providers and technology vendors.Ship capabilities that enable production at scale: security controls, GxP compliance frameworks, enterprise authentication, and SLAs for mission?critical drug discovery applications.Partner with engineering on architecture for massive ML workloads, including AWS infrastructure scaling, model deployment pipelines, and reliability guarantees.Strategically manage substantial budgets, including FTE, outsourced service providers, and professional services.Essential Skills / ExperienceExtensive experience (at least 5 years) in senior roles leading enterprise AI platforms, ML infrastructure, or developer platform products.Developing technical strategies and aligning with partners across a sophisticated global organization.Influencing and communicating strategy.Budget and resource management (FTE, outsourced service providers, professional services).Strong software coding skills, with proficiency in Python (exceptional ability in any language will be recognized).Experience leading an enterprise platform and service, handling new customer demand and feature requests.Experience leading a team of technical experts.Experience with SAFe agile principles and practices.Experience working with internal security standards and frameworks.B.S. degree or equivalent in Computer Science or related quantitative or analytical field.Significant experience with AWS cloud environments & services (e.g., SageMaker, Athena, S3, EC2, RDS, Glue).Proven knowledge of building data science and machine?learning environments to a production standard.Modern DevOps mentality, using best?of?breed DevOps toolchains such as Docker, Git.Experience with infrastructure?as?code technology such as Ansible, Terraform, Cloud Formation.Adapt standard machine?learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).Desirable Skills / ExperienceExperience in implementing & maintaining GxP compliant life?science systems.Certification in appropriate areas.Experience building large?scale data processing pipelines (e.g., Hadoop, Spark, SQL).Multi?cloud experience (AWS, Azure, GCP).EEO StatementAstraZeneca 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 welcome and consider applications from all qualified candidates, regardless of their characteristics.xqbhyrx 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.#J-*****-Ljbffr ## Related Videos - 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