Skills this job asks for
Machine learningPythonCI/CD
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Sponsorship verdict
No sponsorship evidence yet
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Pay clears the visa salary barStated pay (€63,490.00 - €117,910.00) clears the Ireland Critical Skills Employment Permit threshold of €40,904.
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Details and sources
- Pay clears the visa salary bar
- Stated pay (€63,490.00 - €117,910.00) clears the Ireland Critical Skills Employment Permit threshold of €40,904. Source: https://enterprise.gov.ie/en/what-we-do/workplace-and-skills/employment-permits/permit-types/critical-skills-employment-permit/, rules effective 2026-03-01.
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Before you apply
Sponsorship unknown
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About the role
Salary Range:
€63,490.00 - €117,910.00
Job Description Summary
Job Title: Senior Expert (Rapid Prototyping)
Location: Dublin, Ireland
#LI-Hybrid
No of positions:2
Relocation Support: This role is based in Dublin, Ireland. Novartis is unable to offer relocation support: please only apply if accessible.
Join us at the forefront of scientific innovation, where cutting-edge artificial intelligence meets life-saving research. As a Senior Expert in Rapid Prototyping, you will play a pivotal role in transforming how drug discovery is accelerated by designing and deploying advanced generative artificial intelligence and agentic systems. Working at the intersection of science and technology, you will rapidly translate emerging artificial intelligence capabilities into impactful, real-world solutions that empower researchers, enhance decision-making, and ultimately help bring transformative therapies to patients faster.
Job Description
Key Responsibilities
• Design and deploy generative artificial intelligence solutions supporting drug discovery and biomedical research workflows
• Build rapid prototypes and scalable applications combining foundation models, retrieval systems, and workflow orchestration
• Develop production-ready large language model applications with robust context handling, tool integration, and monitoring
• Translate emerging generative artificial intelligence and agentic approaches into practical, reusable solutions
• Apply engineering best practices including testing, benchmarking, version control, and lifecycle management
• Collaborate with cross-functional teams to deliver impactful artificial intelligence solutions aligned with research priorities
• Identify opportunities to enhance scientist productivity using artificial intelligence assistants and workflow automation
• Contribute to architecture, scalability, security, and reliability of artificial intelligence-powered systems
• Share best practices, reusable components, and technical guidance across teams working on artificial intelligence applications
• Evaluate emerging tools, frameworks, and technologies to advance generative artificial intelligence capabilities
Essential Requirements
• 5+ years of experience building and deploying artificial intelligence or machine learning systems in production
• 2+ years of hands-on experience designing large language model applications including retrieval augmented generation and tool integration
• Strong proficiency in Python and experience developing scalable services, application programming interfaces, and reusable libraries
• Experience delivering end-to-end artificial intelligence solutions including prompt design, evaluation, and monitoring
• Familiarity with generative artificial intelligence frameworks such as LangChain, LangGraph, or similar ecosystems
• Experience applying modern software engineering practices including testing, code reviews, version control, and continuous integration
• Understanding of evaluation metrics for generative artificial intelligence systems including quality, reliability, and cost considerations
• Awareness of security, governance, and responsible artificial intelligence practices in enterprise environments
Desirable Requirements
• Experience in drug discovery, computational biology, or biomedical research environments
• Publications, patents, or open-source contributions in artificial intelligence or computational sciences
Rewards
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.
The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement
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