Forward Deployed Engineer - AI Prototyping & Product Engineering

Novartis is hiring a Forward Deployed Engineer - AI Prototyping & Product Engineering in Prague, Czechia. Level rates it ; you can apply on Novartis.

Level's read on this job

Builds AI ●●●● is how Level rates this forward deployed engineer role: the job is building AI systems.
Tools and skills the posting cites include Bedrock, RAG and AI agents.
Level classifies it as a senior role.
Level lists 848 other open roles at Novartis.
The role was posted in the last few days.

AI in this role

bedrock

ragai-agentsnlp

Salary Range:

Kč1,402,380.00 - Kč2,604,420.00

Job Description Summary

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

#LI-Hybrid

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

How we rate this

Forward Deployed Engineer - AI Prototyping & Product Engineering at Novartis rates 85 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Forward Deployed Engineer - AI Prototyping & Product Engineering is an open job at Novartis.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Prague.
The job was posted on November 2, 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

RAGAI agentsNLPBedrock

Also common in forward deployed engineer jobs at this level

LLM Prompt engineering Google Cloud Azure Fine-tuning LangChain

Pay

Typical forward deployed engineer job: $180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used Bedrock hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, NLP, and Bedrock. 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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