AI Senior Expert
Novartis
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This role on the market
626 open expert roles across 105 companies are on ApplySarthi right now, most of them in Bengaluru (18), Hyderabad (13), Pune (12).
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What expert roles keep asking for: Stakeholder management (13%), SQL (13%) — counted across their open postings here.
Deep learning jobs · Machine learning jobs · Python jobs
Novartis has 843 open roles listed here.
- Clinical Research Medical Advisor
- Specialist, General Procurementhyderabad
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- Country Head of People Experience – Japan
- Contracting Specialist - Clinical Study Start-Up
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for expert roles keep coming back to Stakeholder management, SQL. Practise those questions before you sit with Novartis.
Questions you are likely to be asked
- Why do you want to join Novartis?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the AI Senior Expert at Novartis interview free →Salary Range: €42,600.00 - €79,200.00 Job Description Summary #LI-Hybrid Location: Barcelona, Spain Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible. Imagine shaping the future of Finance through the power of Artificial Intelligence. As an AI Senior Expert at Novartis, you will build intelligent, enterprise-scale AI solutions that transform how financial decisions are made and how business insights are generated. Working at the forefront of Agentic AI, large language models, and advanced analytics, you will collaborate with global experts across Finance, Data Science, and Technology to create innovative solutions that automate complex processes, enhance decision-making, and deliver measurable business impact. If you are passionate about turning cutting-edge AI into real-world value, this is an exceptional opportunity to help redefine the future of digital finance. Job Description Key Responsibilities Design and deploy Agentic Artificial Intelligence solutions that transform finance planning, forecasting, and performance management. Build multi-agent systems that reason, retrieve information, execute tasks, and generate business recommendations. Develop Artificial Intelligence-powered analytics that convert complex data into actionable business insights. Integrate large language models into enterprise workflows while ensuring reliability, transparency, and governance. Design Retrieval-Augmented Generation architectures using structured and unstructured enterprise knowledge sources. Implement monitoring, evaluation, and testing frameworks to measure solution quality, accuracy, and business impact. Partner with cross-functional teams to deliver innovative Artificial Intelligence products that create measurable value. Essential Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. Minimum five years of experience developing Artificial Intelligence, Machine Learning, or enterprise software solutions. Proven experience building and deploying Artificial Intelligence agents or multi-agent systems in production environments. Advanced programming skills in Python and Structured Query Language for data-driven solution development. Hands-on experience with large language models, Retrieval-Augmented Generation, and enterprise Artificial Intelligence frameworks. Strong knowledge of cloud platforms, Artificial Intelligence operations practices, and scalable deployment architectures. Desirable Requirements Experience supporting Finance, forecasting, or business performance management use cases through Artificial Intelligence solutions. Knowledge of responsible Artificial Intelligence practices, model governance, and enterprise regulatory compliance frameworks. 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: €42,600.00 to €79,200.00 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. 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 & 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, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis
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Listed on workday · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Novartis, not by us.