Fellow, AI Architecture

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 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
• 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

Pay & Benefits

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.

• Best-in-class healthcare coverage, 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 investment opportunities to help you plan for the future

• Location-specific perks and extras

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.