Senior AI Engineer

Moderna is seeking a Senior AI Engineer in Cambridge, MA / Warsaw, Poland to provide deep technical leadership for the design, implementation, and operation of AI software platforms and cloud‑based deployment patterns for Supply Chain and enterprise Digital. This senior individual‑contributor role sets architecture, codes critical components, establishes engineering standards, and mentors engineers while partnering closely with product and business leaders.

• Define the technical strategy and reference architecture for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud‑based data/AI platforms.
• Lead end‑to‑end cloud deployment standards across development, test, validation, and production environments, including workspace architecture, Delta Lake/Lakehouse design, Unity Catalog, workflows, MLflow, model serving, deployment automation, observability, and access governance.
• Build and review critical software components, APIs, orchestration patterns, model‑serving interfaces, reusable libraries, and platform accelerators that enable teams to move AI prototypes into production reliably.
• Establish engineering practices for AI/ML/LLMOps, including automated testing, CI/CD, infrastructure‑as‑code, release management, model and prompt versioning, evaluation, monitoring, incident response, and rollback.
• Guide integration of SAP and enterprise data sources into trusted data products, feature pipelines, semantic layers, and decision‑support services for Supply Chain, Quality, Manufacturing, Finance, and Digital stakeholders.
• Partner with product owners, architects, cybersecurity, quality, validation, and infrastructure teams to ensure solutions meet business outcomes, security expectations, GxP requirements, and enterprise architecture standards.
• Coach and mentor engineers across regions, raise the quality of design reviews and code reviews, and help build a practical AI/Data/Automation Center of Excellence with reusable standards and assets.
• Improve platform reliability, performance, cost efficiency, data quality, and developer experience through metrics, architectural guardrails, operational playbooks, and continuous feedback from users and support teams.

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field; equivalent deep technical experience will be considered.
• 7+ years of software, data, or AI engineering experience, including 4+ years delivering production ML, GenAI, analytics, automation, or data‑intensive systems.
• Expert proficiency with Python and SQL, strong software architecture fundamentals, and experience with at least one additional language such as Java, Scala, or Type Script.
• Hands‑on front‑end engineering experience with Type Script/JavaScript and a modern framework such as React, Angular, Vue, or Svelte, including reusable components, state management, forms, charts, browser fundamentals, accessibility, and responsive design.
• Hands‑on back‑end engineering experience designing production APIs and services using Python, Node.js, Java, Scala, or comparable technologies, including REST/GraphQL patterns, service boundaries, authentication, authorization, testing, observability, and production debugging.
• Demonstrated experience architecting and operating LLM/GenAI systems, including RAG, agents/tool use, embeddings/vector search, model and prompt evaluation, guardrails, monitoring, and human‑in‑the‑loop controls.
• Strong background in cloud architecture on AWS, Azure, or GCP, including IAM, networking, secrets management, CI/CD, infrastructure‑as‑code, and production support models.
• Experience designing secure, compliant, auditable systems in regulated environments, with practical understanding of GxP, data integrity, validation documentation, and change control.

• Experience in life sciences, pharmaceutical manufacturing, supply chain, quality, or another regulated operational domain.
• Experience with SAP‑centric supply chain data and integration patterns, including SAP ECC/S/4
  
  HANA, IBP, MM, PP, QM, SD, EWM/WM, MDG, BTP, or related…