Principal AI Engineer - Evinova

AstraZeneca • Waltham, MA

97d

About The Position

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? Then Evinova, a new health tech business part of the AstraZeneca Group might 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 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 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. 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.

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)
• 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 sophisticated technical concepts to both technical and non-technical audiences

Nice To Haves

• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees