Sr. Software Engineer, Enterprise AI Enablement Engineer

Moderna Therapeutics; Cambridge, Northern (MA, KY); Hybrid; USD 146,000 - 234,000; Full time

Benefits offered by this job

Competitive healthcare

Well-being resources

Family planning support

Generous paid time off

Savings and investments programs

Location-specific perks

Job summary

Moderna is seeking a Sr. Software Engineer, Enterprise AI Enablement to turn AI prototypes into secure, scalable products. You will collaborate with science, business, product, platform, data, and security teams to guide architecture, deployment, and ownership transfer from prototype to production.

You will lead end-to-end productionization, design reusable patterns, and ensure security, traceability, and cost discipline across the stack while delivering durable, high‑quality solutions.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5+ years in software, data, or computational engineering.
• 2+ years with ML/LLM/agentic AI.
• Strong Python and modern web language skills.
• Experience designing modular services and APIs with cloud practices.
• Hands-on experience with LLM workflows, prompts, and evaluation.

Responsibilities

• Lead end-to-end productionization of AI applications.
• Refactor early-stage apps into modular services and APIs.
• Provide technical direction across multiple initiatives.
• Create reusable agent skills and deployment patterns.
• Design and evaluate LLM workflows and tool use.
• Diagnose cross‑layer issues and automate solutions.
• Embed security, privacy, and compliance throughout lifecycle.
• Produce architecture docs, API contracts, and runbooks.
• Define and track engineering impact metrics.

Skills

Python

TypeScript/JavaScript

LLM workflows

Software architecture

Cross‑functional collaboration

Debugging/troubleshooting

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD (preferred)

Tools

AWS

PostgreSQL

Redshift

Containerization (Docker)

CI/CD

Job description

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.

• 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. 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.

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

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.

Our Mission and Vision

At Moderna we are pioneering the development of a new class of drugs made of messenger RNA (mRNA). This novel drug platform builds on the discovery that modified mRNA can direct the body’s cellular machinery to produce nearly any protein of interest, from native proteins to antibodies and other entirely novel protein constructs that can have therapeutic activity inside and outside of cells. We have a clear mission to propel the field of mRNA science forward and deliver new medicines to patients and a unique vision for how to achieve this mission. Our Mission: To deliver on the promise of transformative messenger RNA (mRNA) science to bring new medicines to patients. Our Vision: To unlock the potential of mRNA by establishing an ecosystem of teams and partners that will work together to develop the broadest possible array of drugs, across diverse therapeutic areas and routes of administration, for serious diseases that are not treatable today.

Third Party Staffing Agencies

Moderna does not accept unsolicited resumes from any source other than directly from candidates. For the protection of all parties involved in the recruiting process, resumes will only be accepted from recruiters/agencies if a signed agreement is in place at the inception of the recruiting effort and authorized for a specified position. Unsolicited resumes sent to recruiters/agencies do not constitute any type of relationship between the recruiter/agency and Moderna and this does not obligate Moderna to pay fees if we hire from those resumes.