The Role
In this 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.
Success will be measured by the number of cost-effective, secure, and scalable AI solutions that are right-sized for Moderna, delight business partners, and unlock transformative value.
Reports directly to the Chief Technology and Security Officer
You’ll shape the future of AI at a company transforming global health.
You’ll work alongside passionate scientists, technologists, security experts, data stewards, and business leaders who share your drive to push boundaries.
If you thrive in a high-velocity, security-obsessed environment and believe in the power of collaboration, creativity, and humility, we want you on our team.
Here’s What You’ll Do
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
Implement security protections against AI-specific threats—adversarial attacks, data poisoning, model theft, prompt injection—across the data, model, and application stack
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 Champions, Evangelists, Developers, Enterprise, Cloud, and Security Engineers 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
Collaborate closely with Data Architecture and Systems Data Owners to ensure tight integration, strong data governance, lineage, and quality in AI workflows
Operate independently as a balanced representative of both technical engineering and business partner teams, influencing stakeholders through the value of proposed solutions rather than positional authority
Imagine the art of the possible—think creatively to envision bold AI innovations and translate those visions into enterprise-class, production-ready solutions
Define and track metrics for success, including solution cost-effectiveness, security posture, scalability, and business partner satisfaction
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
Additional duties as may be assigned from time to time
Culture and Mindsets
Embrace Moderna’s growth-and-agile mindset: dare to innovate, validate rigorously, and iterate fast
Lead with humility: listen actively, give credit, and learn from both successes and setbacks
Cultivate deep collaboration across security, data, engineering, and business teams to build trust and shared ownership
Influence through the strength of your ideas and the measurable value they deliver, not through positional authority
Imagine what’s possible, challenging conventions to unlock novel solutions that delight stakeholders
Own outcomes end-to-end, balancing speed with quality, security, and compliance
Communicate transparently and succinctly, ensuring alignment at every level of the organization
Here’s What You’ll Need (Basic Qualifications)
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)
Here’s What You’ll Bring to the Table (Preferred 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
At Moderna, we believe that when you feel your best, you can do your best work. That’s why our US benefits and global well-being resources are designed to support you—at work, at home, and everywhere in between.