Remote Cloud AI Architect Jobs
Remote Cloud AI Architect jobs are in strong demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for this role in technology, financial services, and healthcare. Employers hiring remotely right now include CVS Health, World Wide Technology, and Bitdeer Technologies. See the openings below and apply to the ones that match your experience.
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Showing 5 of 27+ Remote Cloud AI Architect jobs
About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/ (https://ir.bitdeer.com/%3C/p%3E%3Cp%3E%3C/p%3E%3Cp%3E%3Cstrong%3EJob)
Job Description
As global demand for AI compute capacity grows at an unprecedented pace, we are building the next generation of hyperscale intelligent computing infrastructure. We are looking for a seasoned network architect with global vision and world-class technical expertise to join our team. You will lead the end-to-end architecture design of AI Data Center Networks (AIDC), high-performance Data Center Interconnect (DCI), and global backbone networks serving large-scale GPU clusters and AI training/inference workloads.
Responsibilities
- Network Planning & Architecture: Engage deeply with NVIDIA, leading network equipment vendors, ISPs, and colocation partners; translate business requirements and cloud platform development architecture into top-level designs spanning AIDC internal networks, DCI, and the global backbone. Own the planning and implementation of foundational resources including IP addressing, VLAN/VXLAN, and bandwidth, while charting a forward-looking network evolution roadmap.
- Lead end-to-end AIDC internal network architecture, covering GPU cluster interconnects (InfiniBand / RoCE), Spine-Leaf / Clos topologies, front-end business networks, and out-of-band management networks.
- Collaborate with the cloud platform engineering team on Underlay network architecture design and Overlay network integration (SDN controllers / VxLAN / EVPN, etc.).
- Own congestion control tuning and standard-setting for hyperscale cluster networks, including PFC, ECN, and In-band Network Telemetry (INT).
- Produce architecture documentation (HLD / LLD), network topology diagrams, configuration standards, and SOPs.
- Identify risks in existing network architectures, develop improvement roadmaps, and drive execution to completion.
Qualifications
- Bachelor's degree or above in Computer Science, Telecommunications, Electronics, or a related field; 8+ years of network architecture design and planning experience at a hyperscale internet company, top-tier cloud provider, or multinational backbone operator.
- Deep understanding of network requirements for AI compute clusters; expert-level proficiency in InfiniBand (IB) and RoCEv2 architecture design.
- Familiarity with high-performance network topologies such as Rail-Optimized architectures; hands-on experience planning and deploying 10,000- to 100,000-GPU-scale cluster networks is a strong plus.
- Solid command of data center routing and overlay technologies including BGP, OSPF, ECMP, VxLAN, and EVPN; in-depth knowledge and practical experience with Segment Routing (SR-MPLS / SRv6).
- Familiarity with optical transport networks, DWDM technology, and global backbone peering/transit strategies.
- Exceptional cross-functional and cross-cultural communication skills with the ability to align diverse stakeholders on large-scale, complex projects; strong resilience under pressure and a technology-forward mindset.
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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.
About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/ (https://ir.bitdeer.com/%3C/p%3E%3Cp%3E%3C/p%3E%3Cp%3E%3Cstrong%3EJob)
Job Description
As global demand for AI compute capacity grows at an unprecedented pace, we are building the next generation of hyperscale intelligent computing infrastructure. We are looking for a seasoned network architect with global vision and world-class technical expertise to join our team. You will lead the end-to-end architecture design of AI Data Center Networks (AIDC), high-performance Data Center Interconnect (DCI), and global backbone networks serving large-scale GPU clusters and AI training/inference workloads.
Responsibilities
- Network Planning & Architecture: Engage deeply with NVIDIA, leading network equipment vendors, ISPs, and colocation partners; translate business requirements and cloud platform development architecture into top-level designs spanning AIDC internal networks, DCI, and the global backbone. Own the planning and implementation of foundational resources including IP addressing, VLAN/VXLAN, and bandwidth, while charting a forward-looking network evolution roadmap.
- Lead end-to-end AIDC internal network architecture, covering GPU cluster interconnects (InfiniBand / RoCE), Spine-Leaf / Clos topologies, front-end business networks, and out-of-band management networks.
- Collaborate with the cloud platform engineering team on Underlay network architecture design and Overlay network integration (SDN controllers / VxLAN / EVPN, etc.).
- Own congestion control tuning and standard-setting for hyperscale cluster networks, including PFC, ECN, and In-band Network Telemetry (INT).
- Produce architecture documentation (HLD / LLD), network topology diagrams, configuration standards, and SOPs.
- Identify risks in existing network architectures, develop improvement roadmaps, and drive execution to completion.
Qualifications
- Bachelor's degree or above in Computer Science, Telecommunications, Electronics, or a related field; 8+ years of network architecture design and planning experience at a hyperscale internet company, top-tier cloud provider, or multinational backbone operator.
- Deep understanding of network requirements for AI compute clusters; expert-level proficiency in InfiniBand (IB) and RoCEv2 architecture design.
- Familiarity with high-performance network topologies such as Rail-Optimized architectures; hands-on experience planning and deploying 10,000- to 100,000-GPU-scale cluster networks is a strong plus.
- Solid command of data center routing and overlay technologies including BGP, OSPF, ECMP, VxLAN, and EVPN; in-depth knowledge and practical experience with Segment Routing (SR-MPLS / SRv6).
- Familiarity with optical transport networks, DWDM technology, and global backbone peering/transit strategies.
- Exceptional cross-functional and cross-cultural communication skills with the ability to align diverse stakeholders on large-scale, complex projects; strong resilience under pressure and a technology-forward mindset.
-
Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.
See All 27 Remote Cloud AI Architect Jobs
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Find JobsRemote Cloud AI Architect Job Market
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote cloud AI architect jobs.
- Five or more years of hands-on experience designing production cloud infrastructure on AWS, Azure, or Google Cloud
- Demonstrated experience building and deploying machine learning or generative AI workloads at enterprise scale
- Proficiency with MLOps tooling such as Kubeflow, MLflow, Vertex AI Pipelines, or SageMaker Pipelines
- Strong programming skills in Python and familiarity with model serving frameworks like TensorFlow Serving, TorchServe, or Triton
- Experience with containerization and orchestration using Docker and Kubernetes in a cloud-native environment
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
Tips for Your Remote Cloud AI Architect Job Search
Apply early to remote roles that fit
Migrate Mate lists remote cloud ai architect openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your cloud platform experience and AI infrastructure background before postings fill.
Show your async communication skills upfront
Remote employers screen cloud ai architects for written clarity as much as technical depth. Include architecture decision records, design docs, or concise technical write-ups in your portfolio so hiring managers can see how you communicate complex tradeoffs without a whiteboard.
Prove self-direction with documented remote projects
Remote teams need architects who drive work independently. Highlight projects where you scoped, designed, and delivered AI or cloud infrastructure with minimal supervision, naming the tools you used, such as Terraform, Kubernetes, or MLflow, and the outcomes you achieved.
Prepare for remote architecture interviews early
Remote cloud ai architect interviews often use collaborative diagramming tools like Miro or Lucidchart instead of a whiteboard. Practice designing AI pipelines and cloud architectures in those tools so you can articulate tradeoffs clearly on screen during a live session.
Remote Cloud AI Architect Jobs: Frequently Asked Questions
How do I get a remote cloud ai architect job?
Target remote-first companies and distributed product teams, which hire cloud ai architects without requiring on-site presence. Remote employers screen hard for self-direction, clear async written communication, and hands-on fluency with cloud platforms like AWS, Azure, or GCP combined with ML infrastructure experience. Documenting your architecture decisions in public repos, design docs, or case studies gives you a concrete edge over candidates with similar technical skills.
Which companies hire remote cloud ai architects?
Companies hiring remote cloud ai architects right now include CVS Health, World Wide Technology, and Bitdeer Technologies, based on current remote listings on Migrate Mate as of August 2026. Remote openings for this role concentrate at remote-first technology firms, cloud-native SaaS companies, and distributed teams in financial services and healthcare that need AI infrastructure built and scaled without a centralized office.
Can you get a remote cloud ai architect job with no experience?
Yes, but remote entry roles are harder to land because you're expected to work independently from day one without in-office guidance. Remote-first startups and smaller cloud consultancies are the most realistic entry points. Showing a portfolio of personal or open-source cloud and AI projects, cloud certifications from AWS or Google, and clear written technical communication can substitute for direct professional experience when applying remotely.
Do you need a degree for remote cloud ai architect jobs?
Not always. Remote employers hiring cloud ai architects weigh demonstrable cloud and AI skills, architecture experience, and verifiable project outcomes heavily alongside or instead of a formal degree. Certifications like AWS Solutions Architect Professional or Google Professional Cloud Architect carry real weight, and a portfolio showing end-to-end AI system design often matters more than your educational credentials to distributed hiring teams.
Which industries hire the most remote cloud ai architects?
Most remote cloud ai architect openings sit in Education, Technology & Software, and Insurance, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed engineering teams building and scaling AI systems across geographies, making remote cloud ai architects a practical and common hire rather than an exception.
See All 27 Remote Cloud AI Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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