Job Description Summary

As a Senior Expert Data Science - GenAI Engineer, you will play a pivotal role in delivering AI systems that solve complex business challenges across Quality, Manufacturing, Supply Chain, Procurement, and Facility Management. Your work will focus on building and deploying GenAI-powered solutions-including chat assistants, automated report generators, digital twin components, and agentic workflows - that drive automation, efficiency, and business impact.
You will collaborate across business domains to design, implement, and operationalize advanced AI systems using large language models, retrieval-augmented generation (RAG), multi agent architectures, and evaluation driven development practices. This role offers the opportunity to influence enterprise AI strategy and shape scalable, production grade AI capabilities.

Job Description

LI-Hybrid

Primary Location: Prague, CZ

Other Locations: Ljubljana, Slovenia, Hyderabad, India, Barcelona, Spain

Relocation Support: This role can be based in Prague, CZ, Ljubljana, Slovenia or Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.

Key Responsibilities

• Lead the design, development, and delivery of GenAI systems such as chat assistants, automated report generators, digital twin components, and multi‑agent workflows.

• Develop AI solutions that support core business domains: Quality, Manufacturing, Supply Chain, Procurement, and Facility Management.

• Partner with cross‑functional SMEs to translate business needs into scalable AI architectures.

• Apply LLMs, RAG pipelines, and multi‑agent orchestration frameworks to structured and unstructured enterprise data.

• Implement evaluation‑driven development processes to ensure reliability, accuracy, and safety of deployed AI systems.

• Manage project budgets, staffing, and timelines with minimal supervision.

• Evaluate and integrate new AI technologies, platforms, and scientific software.

• Mentor junior colleagues and contribute to a culture of innovation, continuous learning, and responsible AI.

Essential Requirements

• University degree in Computer Science, Mathematics, Statistics, Engineering, or Economics with specialization in information technologies.

• Minimum 5 years of experience in data science with a track record of global AI/ML solution delivery.

• Expertise in machine learning, deep learning, and modern GenAI methods.

• Hands‑on experience with LLMs, RAG, multi‑agent systems, and evaluation frameworks.

• Strong programming skills in Python (experience with R optional).

• Knowledge of enterprise AI integration, ideally on Azure AI, AWS Bedrock, or comparable cloud platforms.

• Demonstrated ability to manage the AI lifecycle-data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.

• Excellent ability to translate complex technical insights into actionable business outcomes.

Desirable Requirements

• Experience delivering AI systems in regulated or complex enterprise environments.

• Familiarity with MLOps, prompt engineering, vector databases, and orchestration frameworks.

• Experience in automation and digitalization initiatives across operations (quality, manufacturing, supply chain, procurement, facility management).

Benefits & Rewards: 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); Public transportation allowance; MultiSport Card, Employee Share Purchase Plan. Find out more about Novartis Business Services: https://www.novartis.cz/

Commitment to Diversity and Inclusion / EEO:

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

Skills Desired

Apache Hadoop, Applied Mathematics, Big Data, Curious Mindset, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (ML), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling