Senior Principal AI Engineer - AI Solut

Non classé AI Solut 🆕 Nuevo hace 9 h
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Descripción del puesto

Empresa: AstraZeneca
Provincia: Barcelona
Población: 
Descripción: Are you the hands-on AI builder who turns sophisticated governance into code and ships production systems that stand up to regulators, auditors, and real users? Can you move from idea to working proof-of-concept in days, then mature it into a resilient, governed application that powers how a global corporate affairs function engages, creates and delivers value. AstraZeneca Global Corporate Affairs (GCA) is reimagining how Corporate Affairs work gets done: using AI to improve speed, precision and quality while protecting the trust, relationships, judgement and creativity that sit at the heart of what we do. This role gives you the chance to build where strategy meets real work - shaping practical AI products, data foundations and operating models that help GCA deliver greater impact for AstraZeneca and, ultimately, for patients. You will be the technical authority within a high-impact squad, partnering closely with engineering leadership, enterprise technology, data engineering, legal, security, and the Global Corporate Affairs team. In this builder-first role, you design multi-agent architectures, build RAG pipelines over real enterprise corpora, route models across regions to respect sovereignty requirements, and ship governed applications into live environments. You will set engineering standards by example while remaining the most prolific builder on the team. Accountabilities - Technical Design and Solution Architecture: Lead the end-to-end technical design for AI solutions across Global Corporate Affairs, and from GCA to the enterprise or defined stakeholder groups -selecting patterns, defining component boundaries, and making build-versus-integrate decisions aligned to the squad´s architectural direction. - High-Consequence Decisions: Make and document model strategy choices (foundation models, fine-tuning, multi-provider orchestration, RAG), integration patterns, and tooling with clear rationale against product requirements and compliance constraints. - Platform and Reuse: Identify and build shared components, reusable agent patterns, and governance instrumentation that speed delivery across the portfolio-championing platform thinking over one-off projects. - Data Sovereignty in Code: Translate sovereignty policy into working infrastructure-implementing model routing, data residency, and hosting decisions that respect jurisdictional boundaries and cross-border transfer requirements. - Hands-On Multi-Agent Delivery: Design and ship multi-agent LLM systems across providers, write the orchestration code, implement sovereignty-aware routing, and ensure safe outcomes with human-gated control where needed. - Vendor and technology partnership: Act as GCA´s technical advisor on AI and digital solutions, working closely with external vendors, agencies and third-party technology providers to evaluate tools, shape requirements, ensure compliant and responsible use, and recommend the most effective solutions based ...
Tecnologías: RAG, MLOps, CI/CD
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 1 año
Funciones: Inteligencia Artificial/Machine Learning
Descubre más: https://www.tecnoempleo.com/senior-principal-ai-engineer-ai-solut-astrazeneca/rag-mlops/rf-8b6d1e6de24c83aba242

Información complementaria

Categoría
Non classé
Referencia
Fuente
Tecnoempleo Barcelona
Publicado el
03/08/2026
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