{"id":3596141,"url":"https://alion.io/job/astrazeneca-principal-ai-engineer-evinova-3","title":"Principal AI Engineer - Evinova","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":165,"ghost_share":0.006,"stale_share":0.388,"repost_share":0.103,"time_to_fill_p50_days":19,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gaithersburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":144648,"max":189851,"currency":"USD","period":"year","gross":null,"usd_annual":189851},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"Explainable AI","optional":true},{"name":"Few-Shot Learning","optional":true},{"name":"Kubernetes","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-11-01T00:00:00Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-05T04:10:27Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"WHY JOIN US?\nEvinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone.\nOperating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.\nAt 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.\nWe also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.\nIntroduction to Role:\nAs 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.\nWhat makes this role compelling:\nLead challenging projects in agentic AI, LLM orchestration, and multi-agent systems\nBuild AI agents that directly impact clinical trials, drug discovery, and ultimately patient care\nCollaborate with product teams, clinical experts, and ML engineers in a fast-paced environment\nDevelop automated evaluation systems, prompt optimization techniques, and advanced agent architectures\nContribute to the AI in life sciences community through publications, conferences, and open-source work\nExample 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.\nAccountabilities:\nDesign Advanced AI SystemsBuild and deploy sophisticated agentic AI solutions using state-of-the-art LLMs\nDevelop novel approaches to agent memory, tool use, and multi-agent collaboration\nBuild sophisticated NLP systems for retrieval, information extraction, structured generation, graph reasoning.\n\nDrive Technical InnovationCreate automated techniques for agent design, evaluation, and optimization\nSystematically discover and validate effective prompt engineering approaches for agentic systems\nBuild specialized observability pipelines for continuous model and agent performance monitoring\n\nLead Cross-Functional CollaborationPartner with product, design, and clinical teams to translate AI capabilities into impactful healthcare solutions\nMentor engineers and contribute to AI strategy across the organization\n\nContribute to the FieldShare expertise at conferences and through technical publications\nContribute to open-source projects and help advance best practices in healthcare AI\n\nEssential Skills/Experience:\nBachelor's degree in Engineering, Mathematics, or Computer Science\n4+ years of experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.\nExtensive prior experience exploring and testing language model behavior, prompting and building products with language models.\nExpert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, Google ADK, Crewai, LangChain, LlamaIndex)\nExtensive experience with AWS services (e.g. SageMaker, Bedrock, MSK, EKS, ECS, OpenSearch).\nDeep understanding of agentic AI systems and frameworks (e.g. agentic design patterns, multi-agent systems, reinforcement learning).\nExcellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences\nDesirable Skills/Experience:\nPh.D. in a relevant field (such as mathematics, computer science, data science).\nDemonstrated technical leadership experience, including successful delivery of large-scale AI projects.\nExperience developing complex agentic systems using LLMs.\nExperience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.)\nContributions to open-source AI projects or development of proprietary AI frameworks.\nExpertise in areas such as few-shot learning, meta-learning, explainable AI.\nExperience with AI ethics, responsible AI practices, and navigating regulatory landscapes for AI deployment in the life science industry.\nSO, WHAT’S NEXT?\nTo be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.\nWhere can I find out more?\nExplore what we’re building: www.evinova.com\nStay connected and see our impact in action: https://www.linkedin.com/company/evinova/\nApply today to bring smarter, faster clinical trials to life!\nEvinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing .\nThe annual base pay for this position ranges from $144,648.80 - $189,851.55 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.\nIn addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.\nAdditional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.\nDate Posted\n01-Nov-2026Closing Date\n12-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. 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