Overview

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.

Responsabilidades

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->production 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, 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

Requisitos principales

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 leadership cross-functional collaboration strategic communication multi-agent LLM architectures RAG pipelines model governance tooling

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