CrawlJobs Logo

Fellow, AI Architecture

Moderna

Location Icon

Location:
United States , Cambridge

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

243100.00 - 437000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

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

Job Responsibility:

  • 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

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)

Nice to have:

  • 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
What we offer:
  • 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
  • Annual discretionary bonus, other incentive compensation, or equity award

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Moderna - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Fellow, AI Architecture

Fellow, AI Software Architecture

AMD AI Group is seeking a highly influential technical leader for the role of AM...
Location
Location
United States , San Jose
Salary
Salary:
268000.00 - 402000.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Knowledge in GPU architectures, basic knowledge of CPU architecture
  • Experience in AI/ML software stack spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers
  • Understanding of GPU programming such as ROCm, CUDA, OpenCL, etc
  • Experience in hardware/software co-design, building high-performance products across the full product lifecycle
  • Experience with operating systems (OS) and device driver development is a plus
  • Undergrad degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred
Job Responsibility
Job Responsibility
  • Strategic Leadership: Set the technical vision and roadmap for AI software stack across all AMD products, ensuring AMD remains the platform of choice for top-tier AI customers
  • Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries, kernel and framework teams to influence future silicon features based on evolving AI workload trends
  • Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE) to ensure 'out-of-the-box' performance excellence on AMD hardware
  • Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting
  • Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations
  • Community & Mentorship: Act as a technical ambassador in industry forums and open-source communities. Mentor and inspire the next generation of AMD's technical leaders and engineers.
  • Fulltime
Read More
Arrow Right

Research Intern - AI Systems & Architecture

Research Internships at Microsoft provide a dynamic environment for research car...
Location
Location
United States , Mountain View
Salary
Salary:
6710.00 - 13270.00 USD / Month
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently enrolled in a PhD program in Computer Science, Electrical/Computer Engineering, or a related field
  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
  • submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples
Job Responsibility
Job Responsibility
  • Investigate emerging AI system architectures and analyze how hardware, software, and model behavior interact across large-scale inference workloads
  • Develop and evaluate analytical or simulation-based performance models to identify system bottlenecks, scalability limits, and optimization opportunities
  • Prototype or assess new inference mechanisms, including disaggregated execution, sparse/expert model scaling, and hierarchical attention techniques
  • Explore next-generation accelerator, memory-architecture, and interconnect technologies, assessing their architectural trade-offs and cost implications
  • Conduct experiments, synthesize research findings, and communicate results to mentors and collaborating researchers
  • Collaborate with fellow interns and researchers to advance new ideas in AI systems and architectural design
  • Fulltime
Read More
Arrow Right

Research Intern - AI System Architecture Modeling and Performance

Research Internships at Microsoft provide a dynamic environment for research car...
Location
Location
United States , Hillsboro
Salary
Salary:
6710.00 - 13270.00 USD / Month
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Accepted or currently enrolled in a PhD program in Computer Science or related STEM field
  • At least 1 year of experience with performance analysis tools and methodologies, optimization and modeling
  • Proficiency with frameworks such as PyTorch, SGLang, Dynamo, and AI accelerator programming models/compilers such as CUDA and Triton
  • Deep understanding of GPU and AI architectures including memory hierarchies, compute-communication interplay, kernel scheduling and interconnect properties
  • Familiarity with CPU/server architectures including understanding of PCIe topologies and accelerator/NIC/peripheral demand. Solid understanding of CPU involvement in dispatching, scheduling and orchestration of input data pipelines to AI accelerators
  • Hands-on experience with benchmarking, profiling, identifying perf bottlenecks and performance analysis and optimization, including trace generation, event monitoring and instrumentation
  • Familiarity with roofline performance modeling, detailed performance simulations and awareness of speed vs accuracy tradeoffs in various performance modeling methodologies
  • Ability to apply the appropriate performance analysis methodology including devising new or combinatorial approaches in evaluating complex system architecture what-if scenarios
  • Solid verbal and written communication skills
Job Responsibility
Job Responsibility
  • Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life
  • Research Interns not only advance their own careers, but they also contribute to exciting research and development strides
  • During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community
  • As a Research Intern, you will be at the forefront of hardware/software co-design and have a direct impact in answering critical questions around designing an optimized AI system and evaluating real-world impact on the Azure’s supporting hyperscale infrastructure
  • This role will evaluate opportunities to co-optimize central processing unit (CPU), graphics processing unit (GPU) and networking infrastructure for the Maia accelerator ecosystem
  • You will be expected to identify system stress points, propose novel architectural ideas, and create methodologies using a combination of workload characterization, modeling and benchmarking to evaluate their effectiveness
  • Fulltime
Read More
Arrow Right

Senior Software Engineer (Applied AI)

As a Senior Software Engineer (Applied AI), you will play a critical hands-on ro...
Location
Location
United States , Seattle; New York City; Boston
Salary
Salary:
130000.00 - 200000.00 USD / Year
pearlhealth.com Logo
Pearl Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8+ years of professional experience in software engineering, with a strong foundation in service-oriented architectures and distributed systems
  • Hands-on experience building and productionizing Applied AI/LLM features, including working with RAG architectures, vector databases, embedding models, and/or Agentic workflows
  • Experience with observability and evaluation practices for production LLM systems (prompt tracking, quality metrics, cost monitoring)
  • Strong proficiency in Python, relational databases, and a major cloud platform (AWS preferred)
  • A deep understanding of modern service design principles, including RESTful and event-driven architectures
  • Proven experience designing, building, and optimizing data-intensive applications
  • A demonstrated history of mentoring engineers and driving technical best practices within a team
  • A strong background in performance optimization, reliability engineering, and security best practices
Job Responsibility
Job Responsibility
  • Design, build, and own production AI features powered by LLMs, including RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
  • Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale and securely integrate LLM outputs into user-facing experiences
  • Execute Proof-of-Concepts (POCs) and technical evaluations of new AI technologies to validate product viability and scalability
  • Build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
  • Ensure observability, monitoring, and operational excellence for AI-powered services, championing security and regulatory compliance (HIPAA, SOC2)
  • Drive architectural decisions and system optimizations for AI features in close collaboration with product and engineering leadership
  • Own technical projects from discovery to delivery with autonomy, ensuring solutions align with business needs and long-term scalability
  • Mentor and upskill fellow engineers on Applied AI best practices, fostering a strong culture of technical excellence and collaborative growth
  • Contribute to the team's understanding of LLM capabilities, limitations, and best practices within the healthcare domain
  • Participate in thorough design and code reviews, raising the bar for technical quality across the team
What we offer
What we offer
  • discretionary performance bonus
  • equity options
  • competitive benefits package
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer in the Office AI team, you will help lead the evolution ...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • AI and machine learning mastery, Hands-on experience with state-of-the-art generative AI and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and deep understanding of large language models, embeddings, prompt engineering and model fine-tuning
  • Distributed systems and cloud scale, Proven ability to design, implement and operate scalable, fault-tolerant microservices and distributed storage on cloud platforms such as Azure
  • experience building APIs and services, designing data pipelines and feedback loops, and implementing secure, compliant solutions
  • Technical leadership, demonstrated experience leading complex AI/ML initiatives from concept to production, mentoring engineers, and driving technical decision-making while working with cross-functional teams
  • Security and compliance, ability to meet Microsoft’s and customers’ security and background requirements and to ensure that AI solutions adhere to responsible AI and data privacy standards
  • 7+ years of technical leadership with a track record of delivering mission-critical AI solutions at global scale, including model deployment, evaluation and lifecycle management
  • Experience with retrieval-augmented generation, multimodal architectures, prompt orchestration, model alignment and safety evaluation, and emerging AI methodologies
  • Hands-on experience with Azure Machine Learning, MLOps pipelines, and large-scale data systems (e.g., Cosmos DB, Spark, Data Lake) and establishing robust telemetry and evaluation frameworks
  • Demonstrated passion for mentoring, fostering an inclusive team culture, and collaborating closely with product, research and design partners to drive strategy and deliver user value
Job Responsibility
Job Responsibility
  • Leadership and cross-functional collaboration. Partner with product management and engineering teams to define vision and roadmap, co-own scenario goals, and translate complex product requirements into scientific plans and production-ready AI solutions. Lead technical design reviews and ensure alignment with quality, latency, and cost objectives
  • Generative AI and advanced technologies. Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and automation within the service
  • Architecture and cloud integration. Design and implement scalable, reliable, and secure AI services on Azure, optimizing performance, cost and compliance
  • Technical innovation and strategy. Identify and evaluate emerging AI technologies, frameworks and methodologies. Pioneer new approaches to retrieval-augmented generation, prompt engineering and continuous learning to deliver adaptive and resilient AI systems
  • Mentoring and inclusive culture. Provide mentorship, technical guidance, and peer coaching to other engineers, fostering a culture of innovation, continuous learning, and inclusion. Encourage best practices in code quality, security and responsible AI while elevating the skills of fellow team members
  • Fulltime
Read More
Arrow Right

Senior Product Designer

We're looking for a Senior Product Designer to join our AI team, where you'll de...
Location
Location
Canada
Salary
Salary:
Not provided
designx.community Logo
DesignX Community
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep experience designing sophisticated digital products with exceptional interaction design and visual craft
  • Proven track record with AI-powered or machine learning products, understanding the unique challenges of designing for generative AI
  • Strong accessibility and inclusive design practices with experience reviewing designs for compliance and quality
  • Experience with AI coding tools like Claude for prototyping and development collaboration
  • Demonstrated ability to facilitate workshops, lead design critique, and guide cross-functional teams through complex decisions
  • Experience mentoring designers and providing actionable feedback tailored to individual growth needs
  • Strong analytical thinking with experience using frameworks for prioritization and strategic decision-making
  • Understanding of front-end development constraints and design system architecture
Job Responsibility
Job Responsibility
  • Design complex, multi-state generative AI features end-to-end with exceptional interaction quality, visual polish, and attention to edge cases
  • Review team designs to maintain coherence, quality, and adherence to accessibility standards while identifying gaps in design patterns
  • Use AI coding tools to prototype and ship UI improvements directly, establishing patterns for designer-submitted code contributions
  • Facilitate multi-team workshops for strategic initiatives, opportunity mapping, and complex prioritization decisions
  • Guide teams through structured problem-solving approaches while introducing new analytical frameworks to elevate reasoning
  • Establish design system guidelines and governance processes that scale across teams, anticipating future needs based on product roadmap
  • Partner with PM and engineering leads to align UX investments with roadmap strategy and refine cross-functional collaboration practices
  • Share expertise in research practices, strategic thinking, and AI tool adoption with fellow designers to accelerate team growth
  • Create AI-enhanced design workflows and reusable prompt libraries that elevate team productivity while maintaining craft standards
  • Influence senior leadership through experience strategy articulation and UX-driven business cases
What we offer
What we offer
  • Competitive salaries
  • equity in the company
  • great benefits
  • paid vacation
  • Life leave days
  • team lunches and off-sites
  • commitment to your career growth
  • Fulltime
Read More
Arrow Right

Senior Staff Software Developer - Mobile (IOS)

Come join Intuit's DataX team as a Senior Staff Software Developer - Mobile (IOS...
Location
Location
Canada , Toronto
Salary
Salary:
179500.00 - 242500.00 CAD / Year
intuit.com Logo
Intuit
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
  • Expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications on the iOS platform
  • 5+ years of experience designing complex mobile architectures and distributed systems
  • Experience with AI technologies/tools and applying them to mobile user experiences or backend solutions
  • Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python in the context of mobile development
  • Expertise in Swift and SwiftUI
  • Experience in the Software design/architecture process, specifically for mobile applications
  • Experience in the entire Software Development Life Cycle (SDLC), with a focus on mobile releases
  • Experience with web services (consuming or creating) with REST or SOAP for mobile backends
  • Prior working experience in a cloud computing environment like AWS/GCP is highly desired
Job Responsibility
Job Responsibility
  • Drive velocity in the organization by identifying and driving key opportunities across the mobile platform and broader company, accelerating customer, business, and technology outcomes
  • Drive significant technology initiatives end-to-end within the iOS platform, including horizontal layers of the mobile architecture
  • Understand customer behaviors and partner with cross-functional partners (Product Management, Design, etc.) to influence and drive end-to-end mobile solutions for customer problems
  • Drive the design and implementation of durable and scalable AI-powered iOS solutions that will solve critical customer problems in a fast-paced environment
  • Execute with a boundaryless mindset and contribute to solutions outside of your primary iOS area of ownership
  • Leverage knowledge of building AI-native applications to reimagine and enhance existing mobile solutions and create new, innovative experiences
  • Guide the applicability of AI to customer problems within the mobile context through a deep understanding of the value and limitations of AI technologies
  • Create robust, scalable, and secure technical designs for iOS applications, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance
  • Passionate about continuous learning, experimenting, and applying cutting-edge mobile technologies and AI paradigms to solve customer problems on the iOS platform
  • Act as a technical subject matter expert for the iOS platform, mentoring fellow engineers and leading technical discussions
What we offer
What we offer
  • cash bonus
  • equity rewards
  • benefits
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...
Location
Location
United States , San Francisco
Salary
Salary:
216500.00 - 324500.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
  • Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
  • Extensive experience designing, developing, and operating scalable backend systems
  • Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
  • Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
  • Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
  • Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
  • Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
  • Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)
Job Responsibility
Job Responsibility
  • Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
  • Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
  • Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
  • Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
  • Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
  • Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
  • Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
  • Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
  • Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
  • Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure
What we offer
What we offer
  • Competitive pay
  • Comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
  • Fulltime
Read More
Arrow Right