AI Engineer Jobs in Cambridge, MA
AI Engineer jobs in Cambridge are concentrated in Kendall Square, East Cambridge, and the Alewife corridor, driven by demand in life sciences AI, robotics, and enterprise software. Employers hiring right now include Lila Sciences, Moderna, and LangChain. See the openings below and apply to the ones that match your experience.
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The Role:
Moderna is seeking an AI Engineer in Cambridge, MA 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 an 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.
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.
4+ years of software, data, or AI engineering experience, including 2+ 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.
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.
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 $121,600.00 - $194,500.00. 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.
If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.
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. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!
Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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 leavesandaccommodations@modernatx.com .
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.

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Find AI Engineer JobsAI Engineer Job Market in Cambridge
Who's Hiring
- Lila Sciences30

- Moderna25

- LangChain20

- Capital One15

- Harvard University10

Top Industries Hiring
- Biotechnology & Pharmaceuticals25
- Technology & Software5
- Artificial Intelligence5
- Banking & Financial Services5
AI Engineer Jobs in Cambridge: Frequently Asked Questions
How do I get a ai engineer job in Cambridge?
Focus your search on Kendall Square and East Cambridge, where biotech, robotics, and enterprise software companies cluster most heavily. Roles here typically require hands-on experience with machine learning frameworks, large language models, or computer vision, depending on the sector. Candidates who can show applied research output, open-source contributions, or domain-specific project work in life sciences or robotics tend to stand out in this market.
Which companies hire ai engineers in Cambridge?
Employers hiring ai engineers in Cambridge right now include Lila Sciences, Moderna, and LangChain, based on current listings on Migrate Mate as of September 2026. Cambridge draws a mix of research-driven biotech firms, robotics startups, and established tech companies, many with close ties to MIT and Harvard.
Are there remote ai engineer jobs in Cambridge?
Yes, though availability depends on the role. AI engineering work is often hybrid rather than fully remote, since many Cambridge employers run on-site compute infrastructure or lab-adjacent teams. About 100% of ai engineer openings tied to Cambridge are remote or hybrid as of September 2026, with fully remote options most common in software-focused or MLOps roles rather than hardware or robotics positions.
How can I get a ai engineer job in Cambridge with little or no experience?
The most realistic entry path in Cambridge is through research assistant or junior ML engineer roles at startups in the Kendall Square ecosystem or through co-op and contract positions at biotech firms that partner with local universities. Building a portfolio of project work in NLP, computer vision, or predictive modeling, and targeting companies at the Series A and B stage, tends to open more doors than applying to large established labs where competition for entry-level positions is steep.
Which industries hire the most ai engineers in Cambridge?
Cambridge ai engineer roles concentrate in Biotechnology & Pharmaceuticals, Technology & Software, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. Cambridge's density of life sciences companies, robotics firms, and enterprise software developers rooted in the university research ecosystem drives demand across all three sectors.
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