> Markdown version of [/jobs/ext/4674345-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4674345-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AI Engineer

- **Company:** Moderna, Inc.
- **Location:** Cambridge, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,900 - $234,200
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, User Authentication, Automation of Tests, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Integrity, Software Debugging, Design of User Interfaces, Identity and Access Management, Python (Programming Language), Key Management, SAP ERP, Node.Js, Software Architecture, Software Maintenance, Release Management, Responsive Web Design, Search Technologies, SQL Databases, TypeScript, Working Model 2D, Enterprise Data Management, Enterprise Software Applications, Retrieval-Augmented Generation, Generative AI, AI Coding Agents, Fastapi, Build Management, AI Platforms, AngularJS, Information Technology, Machine Learning Operations, Front End Software Development, Api Design, NestJS, Code Restructuring, Human in the Loop, GXP, Databricks, Web Api
- **Published:** November 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3d3e24419a45f0de

## About the Role

* 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.
*

Here's What You'll Bring to the Table (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.
*

## Description

* 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.
*