Principal AI Engineer - Evinova

AstraZeneca • Waltham, MA

1d • Hybrid

About The Position

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. This role involves leading challenging projects in agentic AI, LLM orchestration, and multi-agent systems, building AI agents that directly impact clinical trials, drug discovery, and ultimately patient care. You will 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, and 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

• qualified retirement program [401(k) plan]
• paid vacation and holidays
• paid leaves
• health benefits including medical, prescription drug, dental, and vision coverage
• short-term incentive bonus opportunity
• equity-based long-term incentive program

What This Job Offers

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