$145,900 – $234,200
Listed on Moderna’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Moderna seeks a senior technical leader to architect and operate AI/ML platforms for supply chain and enterprise systems, combining deep AI/GenAI expertise with cloud infrastructure and regulated industry knowledge. This role suits engineers with 7+ years building production AI systems who can mentor teams, set standards, and bridge data science with enterprise-grade software delivery in a pharmaceutical context.
Our summary, not Moderna’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Angular
- CI/CD
- Databricks
- Embeddings
- GenAI (Generative AI)
- GraphQL
- Infrastructure as Code
- Java
- JavaScript
- Microsoft Azure
- MLflow
- Node.js
- Python
- React
- Retrieval-Augmented Generation (RAG)
- Retrofit (REST)
- SAP
- Scala
- SQL
- Svelte
- Terraform
- TypeScript
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, or equivalent deep technical experience
- 7+ years software, data, or AI engineering experience including 4+ years shipping production ML, GenAI, analytics, automation, or data systems
- Expert proficiency in Python and SQL
- Strong software architecture fundamentals and experience with Java, Scala, or TypeScript
- Frontend engineering with TypeScript/JavaScript and a modern framework (React, Angular, Vue, or Svelte)
- Backend engineering designing production APIs and services using Python, Node.js, Java, Scala, or comparable technologies
- Demonstrated experience architecting and operating LLM/GenAI systems including RAG, agents, embeddings, vector search, and monitoring
- Strong cloud architecture on AWS, Azure, or GCP
- Experience designing secure, compliant, auditable systems in regulated environments with understanding of GxP and validation documentation
Nice to have
- Experience in life sciences, pharmaceutical manufacturing, supply chain, quality, or other regulated operational domains
- SAP-centric supply chain data and integration patterns (SAP ECC/S/4HANA, IBP, MM, PP, QM, SD, EWM/WM, MDG, BTP)
- Advanced experience with Databricks Asset Bundles, Terraform, Databricks SQL, Feature Engineering, Feature Store, Vector Search, model monitoring, and lakehouse governance
- Applied expertise in forecasting, optimization, simulation, anomaly detection, scheduling, inventory, logistics, or decision intelligence
- Track record mentoring senior engineers and shaping technical direction across global teams