Senior AI Engineer
Moderna
Summary
Moderna is seeking a Senior AI Engineer to lead the design, development, and operation of AI applications for Supply Chain and enterprise Digital. This is a senior individual contributor role that combines hands-on engineering, architecture, technical leadership, and mentoring, in close partnership with product and business teams. You will turn AI prototypes into secure, reliable production applications, connecting user experiences, backend services, enterprise data, and AI capabilities. You will establish practical engineering standards and deliver solutions on enterprise platforms, including validated releases for applicable GxP use cases.
Job description
What You'll Do
- 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.
Basic Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, AI, 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 AI/ML, GenAI, analytics, automation, or data-intensive systems.
- Strong proficiency with Python, 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.
Preferred 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.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field; equivalent deep technical experience will be considered
- 7+ years of software, data, or AI engineering experience
- 4+ years delivering production AI/ML, GenAI, analytics, automation, or data-intensive systems
- Strong proficiency with Python and SQL
- Sound software architecture, API design, and data modeling fundamentals
- Hands-on frontend engineering with Angular and TypeScript
- Hands-on backend engineering with Node.js/NestJS and TypeScript
- Python/FastAPI for AI services
- 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
- Cloud engineering experience on AWS, Azure, or GCP
- Experience building secure, auditable systems with data integrity, validation documentation, and change control in regulated environments
- 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
Benefits
- Competitive healthcare
- Voluntary benefit programs
- Fitness support
- Mindfulness support
- Mental health support
- Fertility support
- Adoption support
- Surrogacy support
- Generous paid time off
- Volunteer days
- Sabbatical
- Global recharge days
- Year-end shutdown
- Savings and investments
- Location-specific perks
Company overview
Moderna, Inc. is a pioneering American biotechnology and pharmaceutical company headquartered in Cambridge, Massachusetts, that has revolutionized the field of medicine through its groundbreaking messenger RNA (mRNA) technology. Founded in 2010, the company has established itself as a global leader in RNA therapeutics, primarily focusing on mRNA vaccines and treatments. Moderna's innovative platform uses mRNA to provide cellular instructions for producing proteins that trigger immune responses, creating a new category of medicines with significant potential to improve patient outcomes across various therapeutic areas. The company gained worldwide recognition during the COVID-19 pandemic for developing one of the earliest and most effective mRNA vaccines, which demonstrated the transformative potential of its technology platform. Beyond infectious diseases, Moderna is advancing a diverse pipeline of 44 treatment and vaccine candidates across infectious diseases, immuno-oncology, rare diseases, cardiovascular diseases, and autoimmune conditions. With approximately 5,800 employees and a strong commitment to scientific innovation, Moderna continues to expand its manufacturing capabilities and research initiatives to deliver the greatest possible impact through mRNA medicines.