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Location
Hybrid (Prague, Czech Republic)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 2, 2026. Novartis scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Novartis is a Swiss pharmaceutical company created in 1996 by the merger of Ciba-Geigy and Sandoz, two Basel chemical and drug houses with roots in the nineteenth century. It has spent the past decade narrowing itself into a pure innovative medicines business, spinning off its generics arm as Sandoz in 2023 and its eye care business as Alcon in 2019, and now concentrates on cardiovascular, immunology, neuroscience and oncology, including radioligand therapies and gene therapy. Headquartered in Basel and listed in Zurich and New York, it is among the largest research spenders in the industry.

Salary Range:

Kč1,402,380.00 - Kč2,604,420.00

Job Description Summary

Job Title: Forward Deployed Engineer - AI Prototyping & Product Engineering

Location: Prague

Relocation Support: This role is based in Prague. Novartis is unable to offer relocation support: please only apply if accessible.

What if you could take an ambitious AI idea and turn it into a product that scientists, clinicians, and business teams actually use? In this hands-on, builder-first role, you'll work directly with teams across life sciences and healthcare to translate complex problems into practical AI-powered solutions. You'll move from discovery and rapid prototyping to full-stack product engineering, enterprise integration, deployment, and continuous improvement, using foundation models, AI-assisted development tools, retrieval-augmented generation, agentic approaches, and reusable platforms. This is an opportunity to stay close to the code while shaping solutions with users and turning promising prototypes into secure, scalable products with measurable impact.

Job Description

Key Responsibilities

· Partner with business and domain teams to translate complex challenges into high-value AI product opportunities.

· Rapidly prototype, test, and refine solutions through short build, demonstrate, learn cycles with users.

· Build end-to-end AI applications using Python, TypeScript, React, foundation models, and reusable platform capabilities.

· Apply AI-assisted development tools and coding agents while ensuring quality, security, and maintainable engineering.

· Develop retrieval-augmented generation, document intelligence, agentic workflows, and automation for life sciences use cases.

· Integrate AI products with enterprise application programming interfaces, data platforms, identity services, and authorized business systems.

· Deploy secure, reliable applications on Amazon Web Services using Amazon Bedrock and appropriate cloud services.

· Establish automated testing, evaluation, observability, continuous integration and deployment, and sustainable operational practices.

· Embed privacy, security, traceability, human oversight, and appropriate controls throughout the product lifecycle.

· Measure adoption and business outcomes, turning successful solutions into reusable capabilities that accelerate future AI products.

Essential Requirements

· Approximately 8-12+ years of professional experience, including 5+ years building and delivering production software.

· Proven ownership of applications or products from problem discovery through deployment, adoption, and continuous improvement.

· Strong Python expertise with the ability to build complete, production-ready applications beyond notebooks, prompts, or model endpoints.

· Working-to-advanced TypeScript, JavaScript, and React experience building functional and intuitive user interfaces.

· Strong engineering fundamentals across application programming interfaces, data modelling, databases, authentication, testing, containers, and cloud deployment.

· Hands-on experience with continuous integration and continuous delivery practices, building maintainable solutions suitable for production environments.

Desirable Requirements

· Experience building generative artificial intelligence solutions using foundation models, retrieval-augmented generation, agentic workflows, and tool integrations.

· Experience delivering technology solutions within life sciences, pharmaceuticals, healthcare, or another regulated environment.

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role:

1,402,380.00 - 2,604,420.00 CZK Annual

The base 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.

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 minimum 14 weeks paid parental leave.

What you will receive:

Monthly pension contribution matching your individual contribution up to 3% of your gross

monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week

above the Labour Law requirement); 4 paid sick days within one calendar year in case of absence due to

sickness without a medical sickness report; Cafeteria employee benefit program - choice of benefits from

Benefit Plus Cafeteria in the amount of 17,500 CZK per year; Meal vouchers in amount of 105 CZK for

each working day (full tax covered by company); Car Allowance; MultiSport Card, Employee Share

Purchase Plan. Find out more about Novartis Business Services: https://www.novartis.cz

Skills Desired

Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis
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