Experteer Overview
Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación.
As Engineering Director, you lead the technical direction, hands-on delivery, and scaling of AI across enabling functions (HR, Finance, Procurement, Legal, Audit, Compliance). You combine deep AI engineering with strategic governance to deliver production-grade, auditable systems that satisfy multi-jurisdictional requirements. You drive reusable platform components, secure governance instrumentation, and cross-functional collaboration with technology, governance, and business units. This role offers high-impact work at the intersection of AI and regulatory compliance in a large, regulated enterprise.
Compensaciones / Incentivos
• Set the AI roadmap across enabling functions and align with business priorities
• Define scalable, governed AI platform architecture with modular design and compliance from the outset
• Make high-stakes architectural decisions on model strategy, data routing, and integration patterns
• Foster platform thinking with reusable components and governance instrumentation
• Account for data sovereignty in model routing and hosting decisions
• Articulate engineering value to senior stakeholders in terms of scalability, risk, and regulatory defensibility
• Lead hands-on AI engineering for multi-agent LLM architectures and RAG pipelines
• Ensure rapid experiment-u003eproduction gates with real data and defined success criteria
• Design governance frameworks surrounding AI applications (classification, risk assessment, approvals, monitoring)




• Embed human-in-the-loop oversight, audit trails, and model/data cards into standard practice
• Maintain separation between build and review functions through second-line governance tooling
• Ensure domain-specific governance for Finance, Legal, HR, Procurement, and Audit
• Own lifecycle governance for live AI systems including re-assessment and change management
• Build capabilities for safe failure, monitoring, and resilience across essential services
• Lead a multidisciplinary team and foster depth, succession, and AI literacy across functions
• Drive end-to-end delivery from architecture to production, scaling, and lifecycle management
• Partner with enterprise tech to leverage shared platforms and standards
• Establish model serving, data pipelines, APIs, security, and observability standards
• Advance MLOps maturity with CI/CD, testing, xqbhyrx monitoring, and incident management
• Oversee data engineering approaches for AI data products with quality and governance
• Define data quality, lineage, and governance standards for sensitive data
Responsabilidades
• significant experience governing AI systems in regulated enterprises
• hands-on AI engineering with production-grade delivery
• ability to navigate multi-jurisdiction data sovereignty and cross-border governance
• experience delivering AI across enabling functions (HR, Finance, Procurement, Legal, Audit)
• leadership of diverse engineering teams (software, ML, data, platform)
• strong communication with senior stakeholders and governance bodies
• design mindset for governance-by-design and auditable systems
Requisitos principales
•

📌 Engineering Director - AI Solutions (Enabling Functions) (Barcelona)
🏢 AstraZeneca
📍 Barcelona