Principal AI Engineer - Evinova

AstraZeneca • Gaithersburg, MD

7d • Hybrid

About The Position

Evinova is a health-tech business focused on advancing digital transformation across life sciences and improving health outcomes through digital solutions. As Principal AI Engineer, you will design and implement sophisticated agentic AI systems for next-generation life sciences solutions, bringing together AI research and real-world healthcare applications. You will build intelligent agents that reason, plan, and act autonomously to address complex clinical challenges.

The role includes leading work in agentic AI, LLM orchestration, and multi-agent systems; developing agents and related tools for clinical trials, drug discovery, and patient care; and collaborating with product teams, clinical experts, and machine learning engineers. Example projects include agents for clinical document generation, medical research search, clinical trial optimization, synthetic patient data generation, and multimodal healthcare assistants.

Evinova supports flexible working while expecting employees to work from the office three days per week to enable in-person collaboration. The annual base pay range is $144,648.80–$189,851.55 USD, with a short-term incentive bonus opportunity and eligibility to participate in an equity-based long-term incentive program. Benefits include a qualified retirement program (401(k)), paid vacation and holidays, paid leaves, and health benefits including medical, prescription drug, dental, and vision coverage, subject to applicable plan terms and conditions.

Requirements

• Bachelor’s degree in Engineering, Mathematics, or Computer Science.
• At least 4 years of experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
• Extensive experience exploring and testing language-model behavior, prompting, and building products with language models.
• Expert knowledge of Python and advanced machine-learning/LLM frameworks, such as TensorFlow, PyTorch, Google ADK, CrewAI, LangChain, or LlamaIndex.
• Extensive experience with AWS services, such as SageMaker, Bedrock, MSK, EKS, ECS, and OpenSearch.
• Deep understanding of agentic AI systems and frameworks, including agentic design patterns, multi-agent systems, and reinforcement learning.
• Excellent communication skills and ability to explain complex technical concepts to technical and non-technical audiences.

Nice To Haves

• Ph.D. in a relevant field, such as mathematics, computer science, or data science.
• Demonstrated technical leadership, including successful delivery of large-scale AI projects.
• Experience developing complex LLM-based agentic systems.
• Experience with low-level languages for high-performance machine-learning code, such as C/C++, Rust, or CUDA.
• Contributions to open-source AI projects or development of proprietary AI frameworks.
• Expertise in few-shot learning, meta-learning, or explainable AI.
• Experience with AI ethics, responsible AI practices, and regulatory landscapes for AI deployment in the life sciences industry.

Responsibilities

• Design, build, and deploy sophisticated agentic AI solutions using state-of-the-art large language models.
• Develop approaches to agent memory, tool use, and multi-agent collaboration.
• Build NLP systems for retrieval, information extraction, structured generation, and graph reasoning.
• Create automated techniques for agent design, evaluation, and optimization.
• Systematically discover and validate prompt-engineering approaches for agentic systems.
• Build observability pipelines to continuously monitor model and agent performance.
• Partner with product, design, and clinical teams to translate AI capabilities into healthcare solutions.
• Mentor engineers and contribute to AI strategy across the organization.
• Share expertise at conferences and through technical publications.
• Contribute to open-source projects and advance best practices in healthcare AI.

Benefits

• Short-term incentive bonus opportunity.
• Eligibility to participate in an equity-based long-term incentive program.
• Qualified retirement program (401(k) plan).
• Paid vacation and holidays.
• Paid leaves.
• Health benefits including medical, prescription drug, dental, and vision coverage, subject to applicable plan terms and conditions.

What This Job Offers

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