Principal AI Architect (Networking)

TL;DR

Principal AI Architect (Networking): Defining the architectural direction for next-generation AI data centers and platforms with an accent on GPU clusters, inference platforms, and multi-cloud AI deployments. Focus on designing high-performance networking architectures, driving infrastructure automation, and leading strategic customer engagements to shape enterprise AI infrastructure at scale.

Location: Must be based in the United States

Salary: $195,000–$300,300

Company

hirify.global provides cloud-first networking and security solutions that protect 70% of the Fortune 500.

What you will do

• Define comprehensive architectural blueprints for modern AI infrastructure, including GPU clusters and LLM inference platforms.
• Design high-performance networking architectures supporting thousands of GPUs with deep expertise in interconnects and traffic engineering.
• Develop integration patterns for AI orchestration platforms like Kubernetes and Slurm to ensure production-grade scalability.
• Champion infrastructure automation, including GitOps workflows and AIOps, to transition from manual to self-managing systems.
• Lead technical engagements with CTOs and AI Platform Engineering teams as the principal advisor for strategic initiatives.
• Collaborate with major vendors like NVIDIA, AWS, and Cisco to develop joint reference architectures and validate interoperability.

Requirements

• 15+ years of experience in enterprise networking, cloud infrastructure, or AI platform architecture.
• Deep expertise in modern data center networking, distributed systems, and high-performance interconnects (RDMA, RoCEv2, BGP).
• Strong hands-on experience with GPU infrastructure and cloud-native platforms.
• Proven ability to influence technical strategy across engineering, product, and executive stakeholders.
• Excellent written and verbal communication skills for translating complex decisions into clear guidance.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience with NVIDIA DGX, SuperPOD, or AI Enterprise platforms.
• Familiarity with AI orchestration tools like Kubeflow, Ray, KServe, or vLLM.
• Knowledge of observability platforms, eBPF, and agentic AI systems.
• Demonstrated thought leadership through technical publications or conference presentations.

Culture & Benefits

• Comprehensive health coverage, generous PTO, and flexible work options.
• Commitment to continuous learning with career-mobility programs and leadership workshops.
• Supportive environment with a "No Jerks" policy and global employee resource groups.
• Charitable Giving Program with company match.
• Modern office perks including EV charging and healthy snacks.