Overview
Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of data and AI to tackle longstanding life sciences challenges? Evinova, a new health tech business part of the AstraZeneca Group, may be for you. The Human-centered AI team at Evinova aims to transform the patient experience and clinical trial process by embedding data science and AI in digital solutions serving clinical trials. We are looking for dedicated individuals to develop ideas into impactful product capabilities that make a difference to patients.
Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions 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 help. 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.
Role
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
Contribute to the AI in life sciences community through publications, conferences, and open-source work
Example impactful projects
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.
Typical Responsibilities
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 standard methodologies in healthcare AI
Essential requirements
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, Google ADK, Crewai, LangChain, LlamaIndex)
Deep understanding of agentic AI systems and frameworks (agentic design patterns, multi-agent systems, reinforcement learning)
Excellent communication skills with the ability to articulate sophisticated technical concepts to both technical and non-technical audiences
Desirable requirements
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 few-shot learning, meta-learning, explainable AI
Experience with AI ethics, responsible AI practices, and regulatory landscapes for AI deployment in life sciences
In-Office/Hybrid
When we put unexpected teams in the same room, bold thinking arises with the power to inspire medicines. In-person working provides a platform to connect, work at pace, and challenge perceptions. We typically work a minimum of three days per week in the office, with flexibility to balance the need to be in the office with individual flexibility.
AstraZeneca move
As AstraZeneca continues to put patients at the forefront, we are excited for our move to Kendall Square/Cambridge in 2026. More information: Kendall Square Press Release.
Why AstraZeneca?
At AstraZeneca, when we see an opportunity for change, we seize it and make it happen. Delivering life-changing medicines is about being entrepreneurial and building a new kind of organization that resets expectations of what a bio-pharmaceutical company can be.
Date Posted: 03-Sep-2025
Closing Date: 16-Sep-2025
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.