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Moderna

Develops mRNA-based medicines for health

Senior AI Engineer

AI Application Engineering +1Posted on Nov 9
Full-timeCambridge, MA, USA

About the Job

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field; equivalent deep technical experience will be considered.
  • Seven or more years of software, data, or AI engineering experience, including four or more years delivering production AI/ML, GenAI, analytics, automation, or data-intensive systems.
  • Strong proficiency with Python and SQL, with sound software architecture, API design, and data modeling fundamentals.
  • Hands-on frontend engineering with Angular and TypeScript, including reusable components, state management, forms, API integration, accessibility, and responsive design.
  • Hands-on backend engineering with Node.js/NestJS and TypeScript, complemented by Python/FastAPI for AI services, including authentication, authorization, service boundaries, testing, and production debugging.
  • Experience shipping GenAI applications with RAG, agents/tool use, embeddings or vector search, model and prompt evaluation, guardrails, and human-in-the-loop controls.
  • Practical experience using AI coding agents to deliver maintainable software, including providing repository context, reviewing changes, writing meaningful tests, and validating outputs.
  • Cloud engineering experience on AWS, Azure, or GCP, including CI/CD, infrastructure-as-code, IAM, secrets management, monitoring, and production support.
  • Experience building secure, auditable systems, with an understanding of data integrity, validation documentation, and change control in regulated environments.
  • Only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for the position.

Responsibilities

  • Design and build full-stack AI applications, including user interfaces, backend APIs, reusable services, and integrations with enterprise data and systems.
  • Own delivery from prototype through production, including automated testing, CI/CD, release management, observability, incident response, and ongoing application support.
  • Use AI coding agents for implementation, refactoring, debugging, and test generation; establish clear task context, review generated changes, and verify behavior before release.
  • Partner with product, architecture, cybersecurity, quality, and validation teams to meet business outcomes, enterprise standards, and applicable regulatory requirements.
  • Lead the design, development, and operation of AI applications for Supply Chain and enterprise Digital.
  • Turn AI prototypes into secure, reliable production applications connecting user experiences, backend services, enterprise data, and AI capabilities.
  • Establish practical engineering standards and deliver solutions on enterprise platforms, including validated releases for applicable GxP use cases.

Desired Qualifications

  • Experience in life sciences, supply chain, manufacturing, quality, or another regulated operational domain, including GxP delivery.
  • Experience with Databricks, MLflow, lakehouse governance, model serving, or data product development.
  • Applied experience in forecasting, optimization, simulation, anomaly detection, or decision intelligence.
  • Familiarity with enterprise system integration; SAP experience is a plus.

About the Company

Moderna

Develops mRNA-based medicines for health

Moderna develops medicines built on messenger RNA (mRNA). Its products use mRNA delivered into cells to instruct them to produce specific proteins that can prevent or treat disease, with vaccines being a primary example. In practice, a dose delivers engineered mRNA into the body, cells translate it into a target protein, and the immune system responds or the protein modulates biology to combat disease. Moderna differentiates itself through its focus on building a whole mRNA medicines platform and in-house capabilities for designing, manufacturing, and scaling mRNA therapies, including rapid development and large-scale production. Its goal is to create a new category of medicines based on mRNA that can improve how diseases are discovered, developed, and treated, ultimately improving patient outcomes.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Cambridge, MA
Founded
2010

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