Remote AI Architect Jobs
Remote AI Architect jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for roles in technology, financial services, and healthcare. Employers hiring remotely right now include NVIDIA, Genesys, and CVS Health. Scan the live roles below and apply to whichever ones fit.
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Required Technical Expertise
Core Mastery Areas
- Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms.
- GPU-accelerated compute architecture for AI and HPC workloads.
- High-performance networking architectures, especially with Spectrum-X.
- Large-scale AI factory and HPC platform design.
Storage Expertise
- Hands-on architectural experience with high-performance parallel or scale-out storage systems.
- Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling.
- Proven experience integrating storage platforms such as VAST Data, Netapp, WEKA, DDN, or Lustre into GPU-accelerated environments.
Working Proficiency
- NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations.
- Slurm for HPC workload scheduling and resource management.
- Run:AI for GPU orchestration and multi-tenant AI workload optimization.
- Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads.
- Linux systems administration in large-scale, performance-sensitive environments.
- Containerized AI workflows and their interaction with schedulers and storage systems.
Additional Experience
- Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency.
- Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required.
- Experience with liquid cooling, power/cooling design, and data center integration strongly preferred.
Leadership & Influence
- Senior individual contributor role with influence through technical authority rather than people management.
- Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership.
- Comfortable operating autonomously in complex, high-impact technical environments.
Documentation & Repeatability Expectations
- Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks.
- Ensure all technical artifacts meet WWT's One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams.
- Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality.
- Drive a culture of documentation discipline, ensuring that every deployment is reproducible, supportable, and aligned with architectural intent.
Educational/Experience Requirements
- Bachelor's degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems.on experience architecting large scale HPC or AI systems.
- Advanced degree (MS/PhD) in relevant fields is a plus but not required.
- Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering.
- Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling).
- Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects.
Want to learn more about Solutions Consulting & Engineering? Check us out on our platform: https://www.wwt.com/community/scande/about
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $215,000.00 to $245,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
If you have any questions or concerns about this posting, please email taposting@wwt.com.
#LI-AF1
#LI-Remote
Requirements:Why WWT
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does for our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With over 14,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What is the Solutions Consulting & Engineering Team and why join?
Solutions Consulting & Engineering is an organization that is customer-focused and solutions-led. We deliver end-to-end and emerging solutions to drive customer satisfaction and increase profitability and growth. Our world-class management consulting, delivery excellence, and engineering brilliance enable our success. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.
Overview
The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with WWT Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems.
Role Summary
The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology.
The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities.
The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations.
This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements.
Key Responsibilities
Architecture and Design
- Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments.
- Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems.
- Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost.
- Define reference architectures, design patterns, and best practices for repeatable and supportable customer deployments.
Platform Implementation and Optimization
- Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization.
- Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI.
- Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency.
- Troubleshoot performance bottlenecks across Compute, Networking, and Storage.
Storage Architecture & Data Performance
- Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms.
- Demonstrate hands-on experience with at least one of the following storage technologies
- VAST Data
- WEKA
- DDN
- Lustre
- Netapp
- Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets.
- Collaborate with compute and networking design to ensure balanced, bottleneck-free architectures.
Technical Authority and Advisory
- Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements.
- Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales.
- Influence platform standards, architectural direction, and technical decision-making through expertise and demonstrated execution.
Delivery Excellence
- Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies.
- Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms.
- Ensure staff, contractors, and partners adhere to WWT best practices and templates for AI solution delivery.
- Review deployment documents, technical assessments, and other outputs to ensure consistency and accuracy, aligning with AI and "One Voice" standards.
Required Technical Expertise
Core Mastery Areas
- Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms.
- GPU-accelerated compute architecture for AI and HPC workloads.
- High-performance networking architectures, especially with Spectrum-X.
- Large-scale AI factory and HPC platform design.
Storage Expertise
- Hands-on architectural experience with high-performance parallel or scale-out storage systems.
- Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling.
- Proven experience integrating storage platforms such as VAST Data, Netapp, WEKA, DDN, or Lustre into GPU-accelerated environments.
Working Proficiency
- NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations.
- Slurm for HPC workload scheduling and resource management.
- Run:AI for GPU orchestration and multi-tenant AI workload optimization.
- Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads.
- Linux systems administration in large-scale, performance-sensitive environments.
- Containerized AI workflows and their interaction with schedulers and storage systems.
Additional Experience
- Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency.
- Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required.
- Experience with liquid cooling, power/cooling design, and data center integration strongly preferred.
Leadership & Influence
- Senior individual contributor role with influence through technical authority rather than people management.
- Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership.
- Comfortable operating autonomously in complex, high-impact technical environments.
Documentation & Repeatability Expectations
- Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks.
- Ensure all technical artifacts meet WWT's One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams.
- Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality.
- Drive a culture of documentation discipline, ensuring that every deployment is reproducible, supportable, and aligned with architectural intent.
Educational/Experience Requirements
- Bachelor's degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems.on experience architecting large scale HPC or AI systems.
- Advanced degree (MS/PhD) in relevant fields is a plus but not required.
- Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering.
- Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling).
- Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects.
Want to learn more about Solutions Consulting & Engineering? Check us out on our platform: https://www.wwt.com/community/scande/about
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $215,000.00 to $245,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
If you have any questions or concerns about this posting, please email taposting@wwt.com.
#LI-AF1
#LI-Remote
Requirements:Why WWT
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does for our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With over 14,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What is the Solutions Consulting & Engineering Team and why join?
Solutions Consulting & Engineering is an organization that is customer-focused and solutions-led. We deliver end-to-end and emerging solutions to drive customer satisfaction and increase profitability and growth. Our world-class management consulting, delivery excellence, and engineering brilliance enable our success. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.
Overview
The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with WWT Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems.
Role Summary
The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology.
The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities.
The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations.
This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements.
Key Responsibilities
Architecture and Design
- Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments.
- Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems.
- Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost.
- Define reference architectures, design patterns, and best practices for repeatable and supportable customer deployments.
Platform Implementation and Optimization
- Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization.
- Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI.
- Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency.
- Troubleshoot performance bottlenecks across Compute, Networking, and Storage.
Storage Architecture & Data Performance
- Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms.
- Demonstrate hands-on experience with at least one of the following storage technologies
- VAST Data
- WEKA
- DDN
- Lustre
- Netapp
- Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets.
- Collaborate with compute and networking design to ensure balanced, bottleneck-free architectures.
Technical Authority and Advisory
- Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements.
- Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales.
- Influence platform standards, architectural direction, and technical decision-making through expertise and demonstrated execution.
Delivery Excellence
- Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies.
- Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms.
- Ensure staff, contractors, and partners adhere to WWT best practices and templates for AI solution delivery.
- Review deployment documents, technical assessments, and other outputs to ensure consistency and accuracy, aligning with AI and "One Voice" standards.
See All 179+ Remote AI Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Architect JobsRemote AI Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software15
- Insurance3
- Renewable Energy3
- Education1
- Automotive1
What Employers Look For
The qualifications that appear most often in remote AI architect jobs.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience designing and deploying large-scale machine learning or deep learning systems in production
- Proficiency with at least one major cloud AI platform such as AWS SageMaker, Azure AI, or Google Vertex AI
- Experience with MLOps tooling including model versioning, CI/CD pipelines, and model monitoring frameworks
- Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, or Hugging Face
- Demonstrated ability to translate business requirements into scalable AI system architecture and communicate trade-offs to non-technical stakeholders
Tips for Your Remote AI Architect Job Search
Show your async communication skills up front
Remote ai architect interviews and onboarding run on written communication. Include architecture decision records, design documents, or async technical write-ups in your portfolio so hiring teams can assess how clearly you think and communicate without a whiteboard session.
Demonstrate remote-ready AI infrastructure experience
Remote employers hiring ai architects prioritize cloud-native work: containerized model serving, CI/CD pipelines for ML systems, and infrastructure-as-code. Document specific tools you've used, such as Kubernetes, Terraform, or a managed ML platform, and the outcomes those deployments produced.
Apply early to remote roles that fit
Migrate Mate lists remote ai architect openings from across the U.S. in one place, so you can find roles that match your stack and experience level and apply directly without sorting through mixed remote and on-site listings.
Prepare for distributed-team interview formats
Remote ai architect interviews often include async take-home design challenges alongside live system design calls. Practice writing up architecture proposals with clear trade-off reasoning, because remote teams evaluate how well you can defend technical decisions in text as much as in conversation.
Remote AI Architect Jobs: Frequently Asked Questions
How do I get a remote ai architect job?
Target companies with fully distributed engineering teams, where async collaboration and written communication are built into daily work. Remote employers screen ai architects for self-direction, clear technical documentation skills, and hands-on experience with cloud-native AI infrastructure, MLOps tooling, and LLM integration. A public portfolio of deployed AI systems, architecture decision records, or open-source contributions gives you a concrete edge over candidates who rely on credentials alone.
Which companies hire remote ai architects?
Employers currently hiring remote ai architects include NVIDIA, Genesys, and CVS Health, per current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, cloud platform providers, and distributed enterprise software teams account for most of these openings.
Can you get a remote ai architect job with no experience?
Yes, but remote entry-level ai architect roles are rare because companies expect you to work independently from day one without in-person mentorship. Your best path is building demonstrable projects: deployed AI pipelines, architecture diagrams with documented trade-offs, or contributions to open-source AI frameworks. Remote-first startups and early-stage product companies are more likely to consider candidates who show strong self-direction and clear written communication alongside their technical work.
Do you need a degree for remote ai architect jobs?
Not always. Remote employers weigh practical skills and demonstrated results heavily for ai architect roles, so a strong portfolio of real AI systems, cloud certifications, and evidence of cross-functional technical leadership can offset the absence of a formal degree. That said, senior and principal-level remote roles at larger organizations often list a bachelor's or master's in computer science or a related field as a baseline expectation, so a degree still broadens your options.
Which industries hire the most remote ai architects?
Most remote ai architect openings sit in Technology & Software, Insurance, and Renewable Energy, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams to build and scale AI systems across geographies without centralizing talent in one location.
See All 179+ Remote AI Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Architect Jobs