Sr. AI Engineer

Joining Moderna means advancing mRNA science to transform medicine. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients. Moderna is strengthening its international business services hub in Warsaw, supporting our growing global operations. We welcome professionals ready to help advance our mission and shape the future of mRNA medicines. This is an opportunity to shape the engineering foundation that powers Moderna's next generation AI capabilities across Supply Chain and Enterprise Digital. As a senior technical leader, you will define the architecture, standards, and deployment patterns that transform AI, machine learning, and Generative AI innovations into secure, scalable, enterprise-grade products. Working across engineering, product, quality, infrastructure, and business teams, you will play a pivotal role in accelerating how AI delivers measurable impact throughout the organization. Here's What You'll Do: Provide deep technical leadership for the design, implementation, and operation of AI software platforms and cloud-based deployment patterns supporting Supply Chain and Enterprise Digital. Serve as a senior individual contributor, setting technical architecture, building critical software components, establishing engineering standards, and mentoring engineers across multiple regions. Own the end-to-end application architecture and delivery strategy for AI and data products, including lakehouse patterns, Unity Catalog governance, CI/CD pipelines, release automation, MLflow model lifecycle management, feature and data product packaging, model serving, vector search, observability, cost and performance optimization, and validated releases supporting GxP use cases. Define the technical strategy and reference architecture for AI software delivery, Generative AI applications, agentic workflows, machine learning services, APIs, and cloud-native AI and data platforms. Lead cloud deployment standards across development, testing, validation, and production environments, including workspace architecture, Delta Lake and Lakehouse design, Unity Catalog, Workflows and Jobs, MLflow, model serving, deployment automation, observability, and enterprise access governance. Design, build, and review critical software components, reusable libraries, orchestration patterns, model-serving interfaces, APIs, and platform accelerators that enable teams to transition AI prototypes into robust production solutions. Establish best-in-class engineering practices for AI/ML/LLMOps, including automated testing, continuous integration and continuous delivery, infrastructure as code, release management, model and prompt versioning, evaluation frameworks, monitoring, incident response, and rollback strategies. Drive the integration of SAP and enterprise data sources into trusted data products, feature engineering pipelines, semantic layers, and intelligent decision-support services supporting Supply Chain, Manufacturing, Quality, Finance, and Enterprise Digital. Partner closely with product owners, enterprise architects, cybersecurity, quality, validation, infrastructure, and business stakeholders to ensure solutions meet enterprise architecture standards, security expectations, regulatory requirements, GxP compliance, and business objectives. Coach and mentor engineers by raising the quality of architecture discussions, technical design reviews, and code reviews while helping build a practical AI, Data, and Automation Center of Excellence through reusable engineering standards, frameworks, and accelerators. Continuously improve platform reliability, scalability, developer experience, data quality, operational excellence, and cost efficiency through architectural guardrails, platform metrics, observability, operational playbooks, and continuous user feedback. Leverage modern Generative AI technologies and emerging AI engineering capabilities to accelerate software delivery, automate