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Moderna · 1 day ago

Fellow, AI Architecture

Cambridge, MA

Full-time

Onsite

Senior Level, Lead/Staff

$243K/yr - $437K/yr

10+ years exp

Moderna is a leading biotechnology company focused on transforming global health through innovative mRNA technology. The AI Architecture Fellow will evolve and operationalize the enterprise AI strategy, designing and building solutions that enhance R&D, manufacturing, and business systems while ensuring security and data integration.

BiotechnologyGeneticsHealth CareMedicalPharmaceuticalTherapeutics

Comp. & Benefits

No H1B

U.S. Citizen Only

Hiring Manager

Kathy Fantegrossi

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

Qualification

AI/ML architectureMulti-cloud environmentsLarge language modelsIdentityAccess managementAI security defensesData governanceBuild-vs-buy evaluationsCollaborationCommunication skillsCreative thinking

Required

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

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