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 AI platform capabilities, including engineering, security, compliance, production readiness, adoption, and measurable value realization.
- Define end-to-end GenAI architecture from cloud model providers such as AWS Bedrock through LLM gateways to consuming applications and use cases.
- Design secure, identity-aware authentication, authorization, traceability, and auditable model access.
- Establish reusable standards, guardrails, logging, model-access controls, shared services, and onboarding patterns for AI adoption.
- Serve as the technical design authority and drive architecture decisions through enterprise architecture, security, and compliance reviews.
- 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 GenAI and data science solutions and drive implementation and adoption.
- Identify high-value AI opportunities and translate selected innovations into roadmap investments.
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, authentication, authorization, traceability, responsible AI, 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, technology vendors, and cloud providers.
- Strong communication and stakeholder management skills, with the ability to translate complex technical topics into clear business decisions.
- Fluent English.
- Experience with Domino Data Lab, AWS Bedrock, or comparable enterprise AI and machine learning platforms is desirable.
- Experience designing AI solutions in pharmaceutical, life sciences, or other highly regulated environments is desirable.
- Knowledge of GxP, validation, and regulated data environments is desirable.
Benefits
- Hybrid work arrangement in Barcelona, Spain.
- Expected annual base salary range of €65,200.00–€121,000.00, excluding performance-based bonus and potential long-term equity awards.
- Company Pension Plan, Life and Accidental Insurance, meals or allowance or office canteen, and flexible working hours may be available in Spain.
- 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