Principal AI Engineer - Evinova

AstraZeneca; Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading healthcare company in Barcelona seeks a Principal AI Engineer to innovate in AI development and deployment. You will be responsible for building machine learning solutions, ensuring code quality, and communicating progress effectively to stakeholders. The ideal candidate has over 5 years of experience in AI/ML, strong coding proficiency especially in Python, and excellent communication skills. This role offers a hybrid working model with 3 days onsite work.

Formación

• 5+ years designing novel algorithms and applied AI/ML solutions.
• Experience building GenAI solutions with a solid grasp of agentic AI frameworks.
• Expert knowledge of Python and standard data frameworks.

Responsabilidades

• Build sophisticated GenAI, Machine Learning and Optimization solutions.
• Deliver high-quality and production-ready code on the cloud (AWS).
• Present AI initiatives and translate outcomes into business value.

Conocimientos

AI Development & Architecture

Generative AI Expertise

Modern Tech Stack

Engineering Rigor

Communication

Herramientas

Python

AWS

GitHub Copilot

LangChain

Descripción del empleo

Role Barcelona onsite - 3 days at office / 2 days at home

It currently takes over10 years and $1.3B to develop a drug. More than 70% of that investment goes into clinical trials, yet only ~10% of candidates make it from Phase I to approval.

Evinova is here to change the math. We use advanced algorithms and GenAI to aim high: boosting clinical trial success by20%, cutting development time by3 years, and halving study costs.

We are looking for a highly skilled Principal AI Engineer who combines strong coding expertise with curiosity and business acumen. In this role, you will not only build advanced algorithms and agentic AI but also ensure your technical work directly supports company targets, working on both internal initiatives and client/consulting-style engagements. You will bring a value-driven mindset, using critical analysis to ensure outcomes align with business goals.

WHAT THE ROLE INVOLVES

• AI Development & Architecture – You will build sophisticated GenAI, Machine Learning and Optimization solutions tailored to the life sciences, taking them from initial PoC through to full industrialization.
• Engineering & Deployment – Deliver high-quality and production-ready code, supporting deployment on the cloud (AWS). You will support the development of robust data pipelines, focusing on flexibility to ensure smooth integration with various client data ecosystems.
• Business Engagement – You will present the progress of AI initiatives, gather feedback, and translate complex technical outcomes into clear business value for senior leadership and stakeholders.
• Cross-Functional Innovation – Thrive in a dynamic ecosystem where AI, Product, Strategy, and UX intersect. You will act as a key translator, connecting cutting-edge AI capabilities with real-world pharmaceutical requirements to deliver meaningful digital transformation.

SKILLS AND CAPABILITIES NEEDED

• Experience – 5+ years designing novel algorithms and applied AI/ML solutions that drove measurable business impact.
• Generative AI Expertise – Experience building GenAI solutions for real-world use cases, with a solid grasp of agentic AI frameworks (LangChain, Google GenAI SDK, LlamaIndex, etc.).
• Modern Tech Stack – Expert knowledge of Python and standard data frameworks (pandas, scipy, etc.). Expertise in leveraging GenAI coding assistants (GitHub Copilot, Cursor, etc.) to accelerate development cycles.
• Engineering Rigor – A proven track record of shipping production-level code using software engineering best practices.
• Communication – Excellent verbal and written communication skills, with experience presenting technical concepts to non-technical stakeholders with clarity.

Desirable Skills/Experience

• Infrastructure – Familiarity with AWS services, AWS CDK, Containerization, and CI/CD pipelines.
• Consulting – Experience interacting with high-level business stakeholders or working in a consultancy environment.
• Pharma Industry Knowledge – Previous experience in Life Sciences is desirable, but not mandatory.

Date Posted: 27-nov-2025

Closing Date: 11-dic-2025

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.