> Markdown version of [/jobs/ext/2018573-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2018573-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# ai engineer

- **Company:** AstraZeneca
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Automation of Tests, Software Quality, Continuous Integration, Datacards, Information Engineering, Middleware, Fault Tolerance, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Performance Monitor, Machine Learning Operations, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://www.jobleads.com/es/job/e86d69faaa38753306f576e5625024bba

## About the Role

Built AI applications inside a large, regulated enterprise; Delivered AI solutions across HR, Finance, Procurement, Legal, Audit, or Compliance; Significant experience implementing governance controls and operational resilience in code and architecture; Ability to move from an idea to a working proof-of-concept in days; Deep expertise in AI governance, operational resilience, and regulatory compliance; Technical authority in multi-agent architecture, production coding, RAG pipelines, and governed AI applications; Experience implementing multi-jurisdictional data sovereignty, regulatory divergence, and cross-border AI governance requirements; Proficiency in foundation models, fine-tuning, multi-provider orchestration, RAG, and sovereignty-aware model routing; Leads through mentorship, code quality, and engineering standards while remaining a strong individual contributor; Nice to have: Shared libraries, reusable agent frameworks, governance middleware, common instrumentation, AI-assisted

## Description

Lead end-to-end technical design and solution architecture for AI systems across enabling functions; Make and document model strategy, integration, and tooling decisions against product and compliance requirements; Identify and build shared components, reusable agent patterns, and governance instrumentation; Implement model routing, data residency, and hosting decisions that respect jurisdictional boundaries; Design and ship multi-agent LLM systems across providers with sovereignty-aware routing and human-gated controls; Build governed RAG pipelines with hallucination guards and immutable audit logging; Deliver proof-of-concepts in days with progression gates to pilot and production; Implement governance-as-code components, approval workflows, monitoring, oversight, routing layers, model and data cards, and audit trails; Engineer systems for data protection laws, AI regulations, and sector-specific operational resilience requirements; Build resilience through circuit breakers, provider
fallbacks, graceful degradation, fail-safe defaults, failover paths and chaos testing; Own delivery from design through production, scaling, monitoring, and lifecycle management; Establish CI/CD, automated testing, performance monitoring, incident response automation, and capacity management; Build data pipelines, feature stores, and data products with quality, governance, lineage, and controls; Implement drift and bias monitoring, lead AI red-teaming, embed fairness and explainability pipelines, and produce assurance reporting; Adapt solutions across business functions and integrate external partners at a technical level; Run technical discovery, prototype quickly, iterate on UX, and measure adoption and impact through KPIs and KRIs; Represent delivery in architecture and AI leadership forums, contribute to enterprise governance and standards, and share reusable patterns., development, MLOps, fairness testing, explainability pipelines, AI red-teaming, assurance reporting, resilience engineering, classification and tiering logic, model registration, approval workflow automation, monitoring pipelines, lifecycle decommissioning controls, enterprise technology and data engineering partnerships, KPI/KRI design, UX-driven iteration., The role requires working from the office an average minimum of three days per week; Flexible arrangements are available around the office expectation; Technology directly supports life-changing medicines; Opportunities include experimentation with leading-edge platforms, collaboration with diverse experts, hackathons, and external partnerships; The company supports diversity, equality of opportunity, and inclusive hiring.


## Related Videos

- [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure)
- [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems)
- [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem)
- [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned)
- [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents)
- [Exploring BOS: The Blockchain Operating System by NEAR Protocol](https://www.wearedevelopers.com/videos/781-exploring-bos-the-blockchain-operating-system-by-near-protocol)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)