Senior AI Engineer

Moderna Therapeutics; Cambridge (MA); Hybrid; USD 145,900 - 234,200; Full time

Benefits offered by this job

Competitive healthcare benefits

Global relocation support

Job summary

Moderna Therapeutics in Cambridge, MA and Warsaw, Poland, seeks a Senior AI Engineer to provide deep technical leadership for AI software platforms and cloud deployment patterns across Supply Chain and enterprise Digital.

You will set architecture, code critical components, mentor engineers, and partner with product leaders to deliver scalable AI solutions with robust governance and security.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related technical field.
• 7+ years of software, data, or AI engineering experience, including 4+ years delivering production ML/GenAI.
• Proficiency in Python and SQL; experience with Java/Scala/TypeScript preferred.

Responsibilities

• Define technical strategy and reference architecture for AI software delivery.
• Lead end-to-end cloud deployment standards across environments.
• Build and review critical components, APIs, and platform accelerators for production readiness.
• Establish AI/ML engineering practices including CI/CD and model/versioning.
• Guide integration of SAP and enterprise data sources into data products for multiple domains.

Skills

Python

SQL

TypeScript/JavaScript

React/Angular/Vue/Svelte

cloud architecture

LLMOps

CI/CD

Model serving

Data pipelines

APIs

Education

Bachelor's or Master's in CS/Engineering/AI/Data Science

Tools

Databricks Asset Bundles

Terraform

Databricks SQL

Vector search/Embeddings

Job description

Moderna is seeking a Senior AI Engineer in Cambridge, MA / Warsaw, Poland to provide deep technical leadership for the design, implementation, and operation of AI software platforms and cloud‑based deployment patterns for Supply Chain and enterprise Digital. This senior individual‑contributor role sets architecture, codes critical components, establishes engineering standards, and mentors engineers while partnering closely with product and business leaders.

Responsibilities

• Define the technical strategy and reference architecture for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud‑based data/AI platforms.
• Lead end‑to‑end cloud deployment standards across development, test, validation, and production environments, including workspace architecture, Delta Lake/Lakehouse design, Unity Catalog, workflows, MLflow, model serving, deployment automation, observability, and access governance.
• Build and review critical software components, APIs, orchestration patterns, model‑serving interfaces, reusable libraries, and platform accelerators that enable teams to move AI prototypes into production reliably.
• Establish engineering practices for AI/ML/LLMOps, including automated testing, CI/CD, infrastructure‑as‑code, release management, model and prompt versioning, evaluation, monitoring, incident response, and rollback.
• Guide integration of SAP and enterprise data sources into trusted data products, feature pipelines, semantic layers, and decision‑support services for Supply Chain, Quality, Manufacturing, Finance, and Digital stakeholders.
• Partner with product owners, architects, cybersecurity, quality, validation, and infrastructure teams to ensure solutions meet business outcomes, security expectations, GxP requirements, and enterprise architecture standards.
• Coach and mentor engineers across regions, raise the quality of design reviews and code reviews, and help build a practical AI/Data/Automation Center of Excellence with reusable standards and assets.
• Improve platform reliability, performance, cost efficiency, data quality, and developer experience through metrics, architectural guardrails, operational playbooks, and continuous feedback from users and support teams.

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, 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 ML, GenAI, analytics, automation, or data‑intensive systems.
• Expert proficiency with Python and SQL, strong software architecture fundamentals, and experience with at least one additional language such as Java, Scala, or TypeScript.
• Hands‑on front‑end engineering experience with TypeScript/JavaScript and a modern framework such as React, Angular, Vue, or Svelte, including reusable components, state management, forms, charts, browser fundamentals, accessibility, and responsive design.
• Hands‑on back‑end engineering experience designing production APIs and services using Python, Node.js, Java, Scala, or comparable technologies, including REST/GraphQL patterns, service boundaries, authentication, authorization, testing, observability, and production debugging.
• Demonstrated experience architecting and operating LLM/GenAI systems, including RAG, agents/tool use, embeddings/vector search, model and prompt evaluation, guardrails, monitoring, and human‑in‑the‑loop controls.
• Strong background in cloud architecture on AWS, Azure, or GCP, including IAM, networking, secrets management, CI/CD, infrastructure‑as‑code, and production support models.
• Experience designing secure, compliant, auditable systems in regulated environments, with practical understanding of GxP, data integrity, validation documentation, and change control.

Preferred Qualifications

• Experience in life sciences, pharmaceutical manufacturing, supply chain, quality, or another regulated operational domain.
• Experience with SAP‑centric supply chain data and integration patterns, including SAP ECC/S/4HANA, IBP, MM, PP, QM, SD, EWM/WM, MDG, BTP, or related analytics enablement.
• Advanced experience with Databricks Asset Bundles, Terraform or infrastructure‑as‑code, Databricks SQL, Feature Engineering/Feature Store, Vector Search, model monitoring, and lakehouse governance patterns.
• Applied expertise in forecasting, optimization, simulation, anomaly detection, scheduling, inventory, logistics, or decision intelligence methods.
• Track record of mentoring senior engineers, shaping engineering communities of practice, and influencing technical direction across global teams.

Pay & Benefits

The salary range for this role is $145,900.00 – $234,200.00. The range reflects the lowest to highest compensation we believe we would offer in good faith at the time of posting. A successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

Benefits include competitive healthcare, voluntary benefit programs, a holistic approach to well‑being (fitness, mindfulness, mental health support), family planning benefits (fertility, adoption, surrogacy support), generous paid time off (vacation, volunteer days, sabbatical, global recharge days, discretionary year‑end shutdown), savings and investments, and location‑specific perks.

Equal Opportunities & Accommodations

Moderna is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other characteristic protected under applicable law. We are an E-Verify Employer in the United States.

We provide reasonable accommodations to qualified job applicants with disabilities. If you require accommodation during the hiring process or to perform the essential functions of the position, please contact our Accommodations team at [e-mail].

Export Control Notice

This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). Employment is contingent upon the applicant’s ability to access export‑controlled information in accordance with U.S. law. Only U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this role, and Moderna is unable to sponsor non‑U.S. persons for an export control license.