Principal AI Engineer - Evinova

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle longstanding life sciences challenges? Then Evinova, a global health tech business might be for you!

Transform patients’ lives through technology, data, and innovative ways of working. You’re disruptive, decisive, and transformative. Someone excited to use technology to improve patients’ health. We’re building a new Health-tech business – Evinova, a fully-owned subsidiary of AstraZeneca Group.

Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we’re helping. Launch pioneering digital solutions that improve the patients’ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.

As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and real-world healthcare applications, you'll build intelligent agents that can reason, plan, and act autonomously to solve complex clinical challenges.

• Lead challenging projects in agentic AI, LLM orchestration, and multi-agent systems
• Build AI agents that directly impact clinical trials, drug discovery, and ultimately patient care
• Collaborate with product teams, clinical experts, and ML engineers in a fast-paced environment
• Develop automated evaluation systems, prompt optimization techniques, and advanced agent architectures
• Contribute to the AI in life sciences community through publications, conferences, and open-source work

Example impactful projects include: Intelligent AI agents for clinical document generation, advanced search systems for medical research, clinical trial optimization tools, synthetic patient data generation, and multi-modal healthcare AI assistants.

• Design Advanced AI Systems
  • Build and deploy sophisticated agentic AI solutions using state-of-the-art LLMs
  • Develop novel approaches to agent memory, tool use, and multi-agent collaboration
  • Build sophisticated NLP systems for retrieval, information extraction, structured generation, graph reasoning.
• Drive Technical Innovation
  • Create automated techniques for agent design, evaluation, and optimization
  • Systematically discover and validate effective prompt engineering approaches for agentic systems
  • Build specialized observability pipelines for continuous model and agent performance monitoring
• Lead Cross-Functional Collaboration
  • Partner with product, design, and clinical teams to translate AI capabilities into impactful healthcare solutions
  • Mentor engineers and contribute to AI strategy across the organization
• Contribute to the Field
  • Share expertise at conferences and through technical publications
  • Contribute to open-source projects and help advance best practices in healthcare AI

• Master's Degree in a relevant field (such as mathematics, computer science, data science).
• 4+ years of industry experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
• Extensive prior experience exploring and testing language model behavior, prompting and building products with language models.
• Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, Google ADK, Crewai, LangChain, LlamaIndex)
• Extensive experience with AWS services (e.g. SageMaker, Bedrock, MSK, EKS, ECS, OpenSearch).
• Deep understanding of agentic AI systems and frameworks (e.g. agentic design patterns, multi-agent systems, reinforcement learning).
• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences

• Ph.D. in a relevant field (such as mathematics, computer science, data science).
• Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.
• Experience developing complex agentic systems using LLMs.
• Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.)
• Contributions to open-source AI projects or development of proprietary AI frameworks.
• Expertise in areas such as few-shot learning, meta-learning, explainable AI.
• Experience with AI ethics, responsible AI practices, and navigating regulatory landscapes for AI deployment in the life science industry.

Evinova is a global health tech business, separate company part of the AstraZeneca group. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider life sciences community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey.