Principal AI Engineer - Evinova

AstraZeneca • Boston, MA

4d • $144,649 - $216,973 • Hybrid

About The Position

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release 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. What makes this role compelling: 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.

Requirements

• 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

Nice To Haves

• 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.

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 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

Benefits

• Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal