Cambridge, Massachusetts, United States
Hybrid
The Role
The Sr. Software Engineer, Enterprise AI Enablement Engineer will turn high-value AI prototypes into secure, reliable, scalable products. As an advanced individual contributor within Enterprise AI Enablement, you will partner with scientific, business, product, platform, data, and security teams to take early-stage applications through architecture, migration, evaluation, deployment, and transition to durable ownership. You will provide technical leadership across the application, data, cloud, and AI layers while establishing reusable engineering patterns that help Moderna move from experimentation to production more quickly—without sacrificing quality, security, traceability, or cost discipline.
Here’s What You’ll Do
Lead the end-to-end productionization of agentic AI applications, from technical discovery and architecture through development, testing, deployment, stabilization, and operational handoff.
Assess and refactor early-stage applications into modular, maintainable services, APIs, user interfaces, and data models while preserving business intent and feature parity.
Provide technical direction across multiple concurrent initiatives, managing dependencies, risks, platform constraints, and delivery tradeoffs with limited oversight.
Create reusable agent skills, migration playbooks, reference architectures, evaluation harnesses, and deployment patterns that accelerate delivery across related teams.
Design and evaluate LLM and agent workflows, including tool use, structured outputs, contextual retrieval, model selection, failure testing, and appropriate boundaries between deterministic software and model-based reasoning.
Diagnose complex issues across application, data, platform, and infrastructure layers using logs, metrics, test harnesses, and systematic root-cause analysis; automate solutions to recurring problems.
Embed security, privacy, data classification, traceability, and compliance requirements throughout the engineering lifecycle, partnering with the appropriate review teams when needed.
Produce high-quality architecture documents, technical specifications, API contracts, test plans, runbooks, and handoff materials that support reproducibility and long-term ownership.
Define and track meaningful measures of engineering impact, including time to production, reliability, throughput, reuse, adoption, operational cost, and reduction of manual effort.
Here’s What You’ll Need (Minimum Qualifications)
Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, Computational Science, Data Science, or a related discipline, or equivalent practical experience.
At least 5 years of professional software, data, or computational engineering experience, including at least 2 years working with machine learning, LLM, or agentic AI applications.
Strong programming skills in Python and experience with TypeScript, JavaScript, or another modern application-development language.
Demonstrated experience designing modular services and APIs, working with relational databases and data models, and applying automated testing, version control, CI/CD, containerization, and cloud engineering practices.
Hands-on experience with LLM or agent workflows, including model APIs, tool or function calling, prompt and context design, structured outputs, evaluation, and failure-mode testing.
Experience converting prototypes into maintainable products, including dependency management, environment capture, observability, documentation, deployment, and operational handoff.
Proven ability to troubleshoot complex application and data-platform problems, identify root causes, evaluate architectural tradeoffs, and deliver durable improvements.
Ability to lead technical work across cross-functional teams, communicate effectively with technical and nontechnical stakeholders, and manage competing priorities with limited supervision.
Here’s What You’ll Bring to the Table (Preferred Qualifications)
Master’s degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, or a related field.
Experience developing software, computational platforms, or AI-enabled workflows within biotechnology, life sciences, research, or another scientifically complex environment.
Experience with AWS or comparable cloud platforms, high-throughput data processing, workflow orchestration, and technologies such as PostgreSQL, Redshift, Athena, or their equivalents.
Experience building reusable agent infrastructure, model-provider abstractions, evaluation frameworks, contextual retrieval systems, or standardized application-development harnesses.
Familiarity with enterprise and open-weight language models and the performance, security, cost, and operational considerations involved in selecting and deploying them.
Experience operating in regulated or quality-sensitive environments, including secure data handling, provenance, auditability, architecture review, and validation practices.
A record of creating reference patterns, mentoring other builders, influencing engineering practices across teams, and delivering measurable improvements in production readiness, reliability, or adoption.
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.
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.
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. 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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