Fellow, AI Architecture

Role Summary

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. Reports directly to the Chief Technology and Security Officer.

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
• 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

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)

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