Fellow, AI Architecture

About the role

The AI Architecture Fellow will evolve and operationalize Moderna’s enterprise AI strategy. You’ll design, build, and guide multi-cloud, agentic, and LLM-based solutions that power our next-generation R&D, manufacturing, and business systems. You will also ensure robust security, seamless data integration, and aligned processes by partnering with security, data, and business teams across the organization.

Responsibilities

• Define and advance Moderna’s AI strategy, ensuring alignment with business goals, security standards, and process requirements
• Architect and manage scalable solutions across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure
• Lead design and deployment of large language model (LLM) services and agentic capabilities, leveraging protocols such as A2A and MCP
• Architect and enforce agentic identity and access controls using role-based, attribute-based, and Zero Trust models
• Evaluate, integrate, and customize third-party agentic solutions from across the wider technology landscape (Microsoft, Amazon, OpenAI, Workday, SAP, ServiceNow, etc.) to accelerate AI-driven workflows
• Drive rigorous build-vs-buy analyses for agentic implementations, recommending when to leverage partner ecosystem solutions
• Design and implement AI solutions requiring multi-agent orchestration, ensuring agents communicate, collaborate, and escalate appropriately
• Partner with AI Digital business owners to help prioritize, prototype, iterate, and productionize secure AI solutions
• Assist in aligning or creating business and technical processes—data flows, governance, change management—to unlock and scale AI opportunities
• Present architectural blueprints, risk assessments, and ROI analyses to senior leadership, tailoring communications for technical and non-technical audiences
• Mentor and coach cross-functional teams, fostering a culture of security-minded innovation, continuous learning, and humility

Requirements

• Bachelor’s degree in computer science, Engineering or related field
• Minimum of 10 years’ experience of hands-on architecting AI/ML solutions in large, global commercial organizations
• Deep expertise in multi-cloud environments (GCP, AWS, Azure), including security, networking, and cost optimization
• Proven track record with large language models and agentic frameworks, including protocols A2A and MCP
• Demonstrated success integrating third-party AI/agentic platforms into complex IT landscapes
• Hands-on experience designing and operating multi-agent orchestration frameworks
• Strong background in identity and access management frameworks (RBAC, ABAC, OAuth, Zero Trust)

Qualifications

• Advanced degree in Computer Science, Engineering or related field
• Experience designing and implementing AI security defenses against adversarial and data integrity threats
• Proven ability to collaborate with Data Architecture teams and Systems Data Owners on governance, metadata, and integration
• Demonstrated ability to influence diverse stakeholders using solution value rather than title or hierarchy
• Creative thinker with a talent for envisioning transformative AI use cases and converting big ideas into enterprise-grade implementations
• Exceptional analytical skills with experience leading build-vs-buy evaluations for enterprise software
• Excellent communication skills; adept at distilling complex technical, security, and process considerations into clear, concise narratives for executives
• Experience in health sciences or life sciences environments is a plus

Benefits

Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs
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 investment opportunities to help you plan for the future
Location-specific perks and extras

Pay & Benefits

The salary range for this role is $243,100.00 - $437,000.00. 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.

Our Working Model

We believe 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.

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.

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.