Jobs at AstraZeneca

Leads enterprise cybersecurity platforms, specializing in Cribl telemetry pipelines and Microsoft Sentinel SIEM administration. Owns platform reliability, integrations, detection enablement, governance, incident and change management, supplier relationships, and modernization initiatives across global hybrid environments. Provides technical leadership, mentoring, risk management, and strategic influence while applying automation and AI/ML to improve security operations.

Leads end-to-end process optimization and re-engineering initiatives across functions. The role identifies improvement opportunities, facilitates process discovery workshops, applies Lean and Six Sigma, assesses automation and process-mining solutions, builds business cases, manages change, and delivers medium to large projects. It requires strong stakeholder management, analytical and communication skills, BPMN 2.0 process mapping, and experience with AI, RPA, Power Platform, workflow, and low-code technologies.

Develop and deploy full-stack applications using Java, Spring Boot, REST APIs, React, TypeScript, and SQL. Build cloud-native services with Docker, Kubernetes, Terraform, and AWS; create automated tests and maintain CI workflows. Participate in architecture reviews, deployments, monitoring, troubleshooting, and Agile delivery. Collaborate with global teams to improve application quality, reliability, and automation while exploring AI and LLM capabilities.

Design and build scalable cloud-native full-stack applications, data products, and user experiences supporting antibody discovery. Collaborate with scientists, product, design, data science, and MLOps teams across architecture, data modeling, infrastructure, testing, monitoring, and reliability. Apply modern engineering practices, contribute across the technology stack, improve platform performance, and mentor peers while supporting AI/ML-enabled scientific workflows.

Design, build, deploy, and support enterprise AI assistants, agents, copilots, RAG solutions, and workflow automation. Develop secure integrations, AWS cloud infrastructure with Terraform, containerized and serverless applications, and CI/CD pipelines. Monitor production platforms, improve reliability, and implement security, data governance, auditability, and Responsible AI controls. Collaborate with product owners, architects, and business stakeholders to scale solutions from MVP to enterprise adoption.

Lead end-to-end requirements management and analysis strategy for IT initiatives in a regulated pharmaceutical environment. Engage stakeholders, align solutions with architecture, assess value and readiness, support business cases, apply AI/LLM-assisted techniques to accelerate documentation, and ensure governance, compliance, and adoption across global teams.

Lead technical strategy and architecture for enterprise AI/GenAI platforms, establish standards (SLOs, observability, security), drive shared components (APIs, registries, RAG, feature stores), oversee model lifecycle and governance, collaborate with Product/Data/Security, mentor senior engineers, and evaluate vendor/cloud partners to ensure scalable, secure, cost-efficient AI deployments.

Lead global deployment and governance of AVEVA PI Historian and TULIP MES across regulated manufacturing sites. Establish standards, architectures, automation, integrations, validation, cybersecurity, and service-management practices. Guide engineers and partners, manage vendors and multi-site programs, and deliver compliant digital workflows for electronic records, quality checks, traceability, and operator guidance. Shape the platform roadmap, oversee integrations with manufacturing and enterprise systems, and build engineering capability.

Lead design and delivery of end-to-end SAP solutions combining ABAP backend and Fiori/UI5 frontends. Build OData/CDS/AMDP services, drive integrations (IDoc, PI/PO, CPI, SLT), stabilize operations, mentor teams, enforce quality and performance, manage releases, and improve UX and adoption across global SAP landscapes.

Lead design, development and support of SAP ABAP on HANA and MDG across global landscapes. Deliver high-performance RICEFW, integrations (IDoc/PI/PO/CPI/SLT), MDG data models/workflows/BRF+, testing, release management, performance tuning, and mentorship to improve master data quality and operational resilience.

Build enterprise platform capabilities including reusable GitHub Actions, Terraform modules, secure CI/CD pipelines, DevSecOps controls, and developer tooling. Develop Python or Golang automation across AWS, cloud, serverless, containerized, and hybrid environments. Establish testing strategies, security guardrails, documentation, and reference architectures while partnering with engineering, security, architecture, and operations teams to drive adoption and continuous improvement.

Leads a global portfolio of process and analytics initiatives across pharmaceutical operations. Owns opportunity prioritization, value realization, project delivery, governance, risk management, stakeholder alignment, change adoption, and talent coaching. Uses process mining, automation, AI, and advanced analytics across SAP, Veeva, and Salesforce to improve efficiency, reduce risk, and deliver measurable financial and operational outcomes.