2 days ago
Barcelona, SpainStaff+
Responsibilities
- Define and execute the AI roadmap for the Statistical Compute Environment and related ecosystem.
- Own end-to-end delivery of secure, compliant, scalable, and production-ready AI platform capabilities.
- Design end-to-end GenAI architectures spanning cloud model providers, LLM gateways, applications, and use cases.
- Define secure, identity-aware access with authentication, authorization, traceability, guardrails, logging, and model access controls.
- Establish reusable technical standards, shared platform services, and onboarding patterns for AI adoption.
- Act as technical design authority and lead architecture, security, compliance, and enterprise review processes.
- Define requirements for resilience, performance, observability, validation, security, and cost management in regulated GxP environments.
- Evaluate, onboard, and integrate Domino and enterprise AI tools and services into the QUANTA and Novartis AI ecosystems.
- Translate business and scientific requirements into prioritized use cases, platform investments, and delivered AI solutions.
- Shape the future AI capability portfolio and identify high-value opportunities for the quantitative science organization.
Requirements
- Significant experience designing and delivering enterprise AI, GenAI, or data science platforms and capabilities at scale.
- Strong expertise in AI platform architecture, including cloud-hosted models, LLM gateways, platform services, and production applications.
- Strong knowledge of security, identity, governance, responsible AI, traceability, and compliance controls.
- Proven experience taking AI solutions from proof of concept through scalable, production-ready implementation.
- Practical expertise in prompt and context engineering, Retrieval-Augmented Generation, fine-tuning, model training, and evaluation.
- Experience defining reusable technical standards, shared services, and onboarding patterns across multiple teams.
- Experience influencing architecture, engineering, security, data science, business stakeholders, vendors, and cloud providers.
- Strong communication and stakeholder management skills.
- Fluent English.
- Experience with Domino Data Lab, AWS Bedrock, or comparable enterprise AI and machine learning platforms is desirable.
- Experience in pharmaceutical, life sciences, or another highly regulated environment is desirable.
- Knowledge of GxP, validation, and regulated data environments is desirable.
Benefits
- Expected annual base salary range is €65,200.00–€121,000.00.
- Potential performance-based bonus and, if applicable, long-term equity awards.
- Spain benefits may include a company pension plan, life and accidental insurance, meals or allowance or an office canteen, and flexible working hours.
- The role is based in Barcelona, Spain, with a hybrid work arrangement.
- Benefits and compensation are subject to local legal requirements and applicable collective bargaining agreements.
Categories
About Novartis
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide. Find out more at https://www.novartis.com See our community guidelines: https://go.novartis.social/3Nboxki