Principal AI Engineer - Evinova
Introduction to role
Do you have deep expertise in agentic AI systems and a passion for applying them to healthcare problems? Ready to design sophisticated AI agents that can improve patient care and clinical trials? Join Evinova's Human-centered AI team, part of AstraZeneca Group, and help develop impactful digital health solutions that make a real difference.
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 wehelp. 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 healthcare 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.
What makes this role compelling:
Lead challenging projects in agentic AI, LLM orchestration, and multi-agent systems
Build AI agents that directly impact patient care and clinical trial efficiency
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.
Accountabilities
Examples of projects the team works on include genAI search services, agentic document generation, algorithmic insight generation, optimization, high-frequency and high-dimentional clinical data modeling, clinical trial prediction and much more!
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
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
Essential Skills/Experience
Ph.D. 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, LangChain, LlamaIndex)
Extensive experience with AWS services (e.g. SageMaker, Bedrock, MSK, EKS, 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.
Desirable Skills/Experience
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.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZeneca, we are supported with all the tools of a leading pharmaceutical company coupled with an agility mentality. We are quick to adapt and evolve in our dynamic fields of medicine, science, and technology. Our work is about disrupting the status quo and thinking critically to drive innovation. We embrace change and naturally adapt to our ever-evolving industry. Our inclusive approach celebrates different perspectives which drive our innovation. We are proud to be part of a value-driven business built on a collaborative culture that supports your ambitions and learning at scale.
Ready to make an impact? Apply now to join our journey!
Date Posted
30-jun-2025Closing Date
10-jul-2025AstraZeneca 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.
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