Senior Expert (Rapid Prototyping)

Novartis is hiring a Senior Expert (Rapid Prototyping). It pays €63k-€118k a year and Level rates it ; you can apply on Level.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include LangChain, LangGraph and prompt engineering.
Level files it as a senior role.
Level lists 864 other open roles at Novartis.
The role was posted in the last few days.

AI in this role

langchainlanggraph

prompt-engineeringragnlp

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 plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.

Expected Annual Base Salary Range for role:

Dublin: 63,490.00 - 117,910.00 EUR Annual.

The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis

How we rate this

Senior Expert (Rapid Prototyping) at Novartis rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Expert (Rapid Prototyping) is an open job at Novartis.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is €63k-€118k a year.
The role is based in Dublin (NOCC).
The job was posted on October 19, 2026.
Seniority: senior.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGNLPLangChainLangGraph

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used LangChain hands-on?
Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, NLP, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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