AI Senior Expert

Posted 19 Days Ago
Be an Early Applicant
Grania, Barcelos, Braga, PRT
Hybrid
43K-79K Annually
Senior level
Biotech • Pharmaceutical
The Role
Designs and deploys enterprise AI solutions for finance planning, forecasting, and performance management. Builds multi-agent systems, integrates large language models and Retrieval-Augmented Generation into enterprise workflows, develops AI-powered analytics, and implements monitoring, evaluation, testing, governance, and scalable deployment practices. The role partners with Finance, Data Science, and Technology teams to deliver measurable business impact.
Summary Generated by Built In

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

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
  • At least five years of experience developing Artificial Intelligence, Machine Learning, or enterprise software solutions
  • Experience building and deploying Artificial Intelligence agents or multi-agent systems in production environments
  • Advanced programming skills in Python and Structured Query Language
  • 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
  • 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

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

Novartis Insights

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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