Director, Enterprise AI Engineering
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Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Introduction:
AstraZeneca is seeking a Director Enterprise AI Engineering with exceptional depth in modern AI. Werequiresomeone who understands how models work at a fundamental level not just how to apply them but why they behave the way they do where they fail and how to design something better. Someone whose knowledge of the field is deep enough to distinguish genuine advances from incremental work and current enough to know where the boundaries are.
This person must also ship. We need a leader who translates that depth into production-grade AI systems at paceleading a team of specialist engineers to solve build and deploy solutions on complex high-impact problems. Research depth and engineering rigor in the same individual.
This is a hybrid role based in Gothenburg you will lead a team of AI Engineers and serve as a member of the AI Engineering Leadership Team. Candidates will be assessed on both their technical and leadership abilities as a portfolio delivery lead and a practicing engineer who raises engineering standards and leads by example.You will collaborate with product architecture and platform teams designers and leaders to deliver production-grade AI services and assets.
Technical depth is equally critical to this role as leadership and delivery. Werequiresomeone whooperatesat the level ofthe mathematicsthe algorithms andthe code daily while leading others to do the same.
Our AI Engineering team is a focused incubator of deep technical talent. We build high-impact reusable scalable production-grade AIassetsand incubated products across five thematic areas:
Systems Intelligence Systematically uncover encode and exploit what makes AstraZeneca unique
Systems Optimization Move AstraZeneca AI from predictive to prescriptive across all core areas of business operations and decision-making
Applied Deep Learning Deep learningexpertisedeployed on multi-modal imaging and foundational modelling initiatives
Engineering Foundations Cultivate and strengthen foundational engineering capabilities cross-deployed and forward-deployed across the portfolio
Product Incubation Incubate and scale solutions prior to hand-off to enterprise product run teams
KeyResponsibilities:
Lead and develop AI Engineers with PhDs and significant industry backgrounds setting and holding an exceptional technical standard
Contribute hands-on to large shared production codebases alongside your team
Providedeep technical guidance on AI system design architecture training evaluation orchestration and deployment with demonstrable depth in one or more AI sub-domains
Define and implement golden-path standards for AI product development software engineering and applied ML research
Drive operational excellence in production ML systems: reliability observability failure handling monitoring incident response
Maintain deep current knowledge of the research landscape; critically evaluate and integrate methods with genuine production applicability
Curate the strategic backlog as a Leadership Team member focusing on highest-impact problems
Partner with other engineering directors across the broader AI engineering landscape
Translate customer and business demands into clear actionable software requirements
EssentialSkills/Experience:
Significant industry experience delivering production AI systems in large complexorganisations able to raise the technical bar under real portfolio constraints and enterprise governance
Deepexpertisein the internals of modern AI systems; able to reason about modelbehaviourfrom first principles not only empirically
Demonstrable depth in at least one AI sub-domain (e.g. optimization language multi-modal foundational models agentic systems)
Current grasp of the research landscape; able to critically assess and apply work from leading academic venues
Experience designing and delivering multi-componentAI systems and services
BSc/MSc/PhD in Computer Science or related quantitative field
Proven leadership of engineers with PhDs and significant industry backgrounds
Active contributor to large-scale production codebases shared libraries or SDKs
Advanced Python; familiarity database solutions (SQL NoSQL graph)
Strong software engineering practice: architecture CI/CD unit testing OOP Git
Algorithm designoptimisation and scaling from first principles
Cloud platform experience for ML development API design and deployment
Able to engage senior business and technical stakeholders with equal credibility
Experience in regulated or compliance-sensitive environments
WhatWeOffer:
A high-impact AI engineering team solving consequential problems in healthcare
A Leadership Team seat with real influence over strategic and technical direction
Access tocutting-edgeAI technologies and uniquely valuable data
Professional growth in a company committed to turning ideas into life-changing medicines
Competitive compensation and benefits
Date Posted
25-feb.-2026Closing Date
24-feb.-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion starting with our recruitment process. We welcome and consider applications from all qualified candidates regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations please complete the section in the application form.Required Experience:
Director
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
