Principal AI Architect

Infoblox • Tacoma, WA

1d • $195,000 - $300,000 • Remote

About The Position

We have an opportunity for a Principal AI Architect to join our Product organization in United States, reporting to the Vice President - Products. In this pivotal role, you will define the architectural direction for next-generation AI data centers and AI platforms — from GPU clusters and inference platforms to autonomous agent systems and multi-cloud AI deployments. Collaborating closely with Product Management, Engineering, Strategic Alliances, and Customer Engineering, you will create reference architectures, best practices, and customer-facing guidance that shape how enterprises design, operate, and secure AI infrastructure and networking at scale.

Requirements

• 15+ years designing enterprise networking, cloud infrastructure, or AI platform architectures, with deep expertise in modern data center networking and distributed systems
• Strong hands-on experience with GPU infrastructure, cloud-native platforms, and AI/ML infrastructure
• Solid understanding of high-performance networking technologies including Ethernet, InfiniBand, RoCEv2, RDMA, EVPN/VXLAN, and BGP at large scale
• Experience influencing technical strategy across engineering, product, and executive stakeholders
• Excellent written and verbal communication skills — you can translate complex architectural decisions into clear guidance for any audience
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience

Nice To Haves

• Hands-on experience with NVIDIA DGX, SuperPOD, Spectrum-X, AI Enterprise, or Mission Control platforms
• Experience with AI orchestration and inference platforms such as Slurm, Kubeflow, Ray, KServe, Triton, TensorRT-LLM, vLLM, or NVIDIA NIM
• Familiarity with observability platforms, GitOps, Infrastructure as Code, OpenTelemetry, Cilium, and eBPF
• Knowledge of agentic AI platforms, AI gateways, distributed AI systems, and emerging AI networking technologies
• Demonstrated thought leadership through technical publications, conference presentations, or open-source contributions

Responsibilities

• Define AI Infrastructure Architecture. You will create comprehensive architectural blueprints for modern AI infrastructure spanning AI factories, GPU clusters, distributed training environments, LLM inference platforms, and autonomous AI systems across hybrid and multi-cloud environments. You'll balance performance, resiliency, operational efficiency, and security in every design, and partner with Product Management and Engineering to influence long-term platform strategy.
• Architect AI-Scale Networking. You will design and document networking architectures that support thousands of GPUs, with deep expertise across high-performance interconnects, lossless Ethernet fabrics, and AI traffic engineering patterns. You'll define best practices for maximizing throughput, resiliency, and operational simplicity in the most demanding AI environments in the world.
• Guide AI Platform and Inference Architecture. You will develop integration patterns across major AI orchestration platforms including Kubernetes-based environments, Slurm-managed clusters, and vendor-specific AI enterprise stacks and produce reference architectures for production-grade AI serving and inference platforms optimized for latency, scalability, and high availability.
• Drive Infrastructure Automation. You will champion automation across the AI infrastructure lifecycle, including provisioning, cluster deployment, configuration management, GitOps workflows, and AI operations (AIOps), helping customers and internal teams move from manual operations to self-managing, observable infrastructure.
• Lead Customer Architecture Engagements. You will serve as the principal technical advisor for strategic AI infrastructure initiatives, leading engagements with Chief Architects, CTOs, AI Platform Engineering teams, and Enterprise Architecture organizations — supporting customers from early design through production deployment.
• Build Strategic Partnerships. You will collaborate with leading AI infrastructure vendors and cloud providers including NVIDIA, AMD, Cisco, Arista, AWS, Microsoft Azure, Google Cloud, and others to develop joint reference architectures and validate interoperability across the AI ecosystem.
• Represent Infoblox as an Industry Leader. You will publish reference architectures, technical whitepapers, design guides, and blog posts, and represent Infoblox at major industry conferences and standards organizations. You will continuously evaluate emerging technologies including agentic AI, distributed AI systems, and autonomous infrastructure and translate them into practical architectural guidance and product strategy.

Benefits

• Comprehensive health coverage, generous PTO, and flexible work options
• Learning opportunities, career-mobility programs, and leadership workshops
• Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy
• Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
• Charitable Giving Program supported by Company Match
• We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal