ai engineer

Moderna is a biotechnology company focused on advancing mRNA science to transform medicine and create a leading technology platform for the development and delivery of new treatments.

• Provide technical leadership for the design, implementation, and operation of AI software platforms and cloud-based deployment patterns;
• Set technical architecture, build critical software components, establish engineering standards, and mentor engineers;
• Own the end-to-end application architecture and delivery strategy for AI and data products, including governance, CI/CD, and model lifecycle management;
• Define technical strategy for AI software delivery, Generative AI applications, agentic workflows, and cloud-native platforms;
• Lead cloud deployment standards across development, testing, validation, and production environments;
• Design, build, and review software components, reusable libraries, orchestration patterns, and platform accelerators;
• Establish engineering practices for AI/ML/LLMOps, including automated testing, infrastructure as code, and monitoring;
• Drive the integration of SAP and enterprise data sources into data products and intelligent decision-support services;
• Partner with cross-functional stakeholders to ensure solutions meet security, regulatory, and GxP compliance requirements;
• Coach and mentor engineers to build a practical AI, Data, and Automation Center of Excellence;
• Improve platform reliability, scalability, and operational excellence through architectural guardrails and metrics;
• Leverage Generative AI technologies to accelerate software delivery and automate engineering workflows.

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, or related technical field;
• 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, plus experience with Java, Scala, or TypeScript;
• Hands-on frontend engineering experience with TypeScript/JavaScript and modern frameworks like React, Angular, Vue, or Svelte;
• Hands-on backend engineering experience designing production APIs and services using Python, Node.js, Java, or Scala;
• Demonstrated experience architecting and operating LLM/GenAI systems, including RAG, agents, and vector search;
• Strong background in cloud architecture on AWS, Azure, or GCP, including IAM, networking, and CI/CD;
• Experience designing secure, compliant, auditable systems in regulated environments with understanding of GxP and data integrity;
• Nice to have: Experience in life sciences or pharmaceutical manufacturing, SAP-centric supply chain data integration, advanced experience with Databricks Asset Bundles or Terraform, applied expertise in forecasting or optimization methods, track record of mentoring senior engineers.

• Competitive healthcare and voluntary benefit programs;
• Holistic approach to well-being with access to fitness, mindfulness, and mental health support;
• Family building benefits including fertility, adoption, and surrogacy support;
• Generous paid time off including vacation, bank holidays, volunteer days, and global recharge days;
• Savings and investment plans;
• Location-specific perks and extras.