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 CVS Health, ServiceNow, and Modern Family Law. Scan the live roles below and apply to whichever ones fit.
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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 152+ Remote AI Architect Jobs
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Find Remote AI Architect JobsRemote AI Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software21
- Consulting & Professional Services9
- Healthcare & Medical Services6
- Science & Research3
- Education2
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 CVS Health, ServiceNow, and Modern Family Law, per current remote listings on Migrate Mate as of August 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, Consulting & Professional Services, and Healthcare & Medical Services, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed engineering teams to build and scale AI systems across geographies without centralizing talent in one location.
See All 152+ Remote AI Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Architect Jobs