AstraZeneca
Principal AI Engineer - Evinova
US - Gaithersburg - MD · Principal
Sponsorship not specified$145k-$190kDetected 1 day ago
PythonRustC++ElasticsearchAWSMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsAgentic AIAI OrchestrationClinical TrialsClinical ResearchPatient CareResearchLeadershipCommunicationCollaboration
About the role
- Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector.
- Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.
- We also recognize the importance of flexibility and balance.
Responsibilities
- As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions.
- 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
Skills
- 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.
- 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).
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
- 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.
Compensation
- The annual base pay for this position ranges from $ 144,648.80 - $189,851.55 USD.
Benefits
- Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.
- By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone.
- At Evinova, we are driven by a shared purpose to transform health through data and digital innovation.
- Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment.
- 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.
- Partner with product, design, and clinical teams to translate AI capabilities into impactful healthcare solutions
- Contribute to open-source projects and help advance best practices in healthcare AI
Equal opportunity
- If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.