Senior AI Engineer

BioSpace; Cambridge (MA); Hybrid; USD 146,000 - 234,000; Full time

Benefits offered by this job

Competitive healthcare

Well-being resources

Family planning benefits

Generous paid time off

Savings and investments

Location-specific perks and extras

Job summary

Moderna is seeking a Senior AI Engineer in Cambridge, MA / Warsaw, Poland to provide deep technical leadership for AI software platforms and cloud-based deployment patterns for Supply Chain and enterprise Digital.

You will own end-to-end architecture and delivery strategy for AI/data products, including lakehouse patterns, MLflow lifecycle, and vector search, with a focus on scalable, compliant production systems.

Qualifications

• Bachelor's or Master's degree in a technical field or equivalent deep technical experience.
• 7+ years in software, data, or AI engineering with production ML/GenAI experience.
• Proficiency in Python and SQL; experience with Java/Scala/TypeScript a plus.
• Frontend and backend engineering experience with modern frameworks and APIs.
• Experience architecting and operating LLM/GenAI systems with guardrails.
• Cloud architecture experience on AWS/Azure/GCP and IaC practices.
• Experience in regulated environments with GxP and data validation.

Responsibilities

• Define technical strategy and reference architecture for AI software delivery and GenAI apps.
• Lead cloud deployment standards across dev, test, and production environments.
• Build and review APIs, orchestration patterns, and reusable platform components.
• Establish engineering practices for AI/ML/LLMOps, CI/CD, testing, and release management.
• Guide integration of SAP and enterprise data into trusted data products and services.
• Collaborate with stakeholders to ensure security, compliance, and enterprise standards.
• Mentor engineers across regions and foster a center of excellence for AI/Automation.

Skills

Python

SQL

Java

React

Terraform

Databricks

LLMOps

Cloud platforms

GxP compliance

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, or related field

Tools

Databricks

Terraform

Databricks SQL

Feature Store

Vector Search

MLflow

CI/CD

Job description

The Role

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 is a senior individual contributor role that sets architecture, codes critical components, establishes engineering standards, and mentors engineers while partnering closely with product and business leaders.

You will own end-to-end application architecture and delivery strategy for AI and data products: lakehouse patterns, Unity Catalog governance, CI/CD and release automation, MLflow model lifecycle, feature/data product packaging, model serving, vector search, observability, cost/performance optimization, and validated releases for GxP use cases. The role requires demonstrated experience shipping scalable AI/ML/GenAI systems, APIs, and data applications in enterprise environments.

Here’s What You’ll Do

• 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/Jobs, 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.

Here’s What You’ll Need (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 frontend 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 backend 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.

Here’s What You’ll Bring to the Table (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

At Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between.

• Competitive healthcare, plus voluntary benefit programs to support your unique needs
• A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
• Family planning benefits, including fertility, adoption, and surrogacy support
• Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
• Savings and investments to help you plan for the future
• Location-specific perks and extras

The salary range for this role is $145,900.00 - $234,200.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs. The 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.

About Moderna

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.

By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.

We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.

Our Working Model

As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.

Moderna is a smoke-free, alcohol-free, and drug-free work environment.

Equal Opportunities

Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's 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 personal characteristic protected under applicable law. Moderna is a place where everyone can grow.

Accommodations

We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.

Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at [e-mail].

Export Control Notice

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). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license.