Staff Technologist-AI Architect
At a glance
Senior AI Engineering role at Iawmqy. Santa Clara · full-time · no salary stated · we estimate $194,306–$242,225.
Iawmqy has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Design and validate end-to-end AI platform architectures, including rack-scale systems and modular GPU clusters
- Assess new model designs and reasoning methods, then track how the frontier evolves
- Build automated tests that measure inference speed and memory behavior on real workloads
- Create production deployments connecting Kubernetes, inference engines, enterprise data systems and secure hardware
- Plan multi-agent execution and connect data pipelines, search and retrieval systems to ground AI responses
What you bring
- At least fifteen years of professional experience, plus an engineering degree or equivalent experience
- You understand GPU designs and alternative accelerators well enough to match hardware to model workloads
- You have built high-throughput storage and network fabrics for ongoing AI data pipelines
- You have implemented hardware-based security and data protection for sensitive models or regulated information
- You can architect Kubernetes-based AI environments and deploy and tune production inference frameworks
Who this fits
This senior role suits an experienced infrastructure architect who can work across AI models, accelerators, data systems and security. The position is based onsite in Santa Clara. Travel and customer-facing project leadership are listed as desirable.
From the employer
Staff Technologist-AI Architect
Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.
Some product builders follow the rules. Ours rewrite them.
Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.
We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.
If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.
From applied research to advanced engineering, the Engineering Technologist team has the expertise to
shape ground-breaking products, material and processes. It’s a fascinating field of work. We’re involved in
assessing the competition, developing technology and product strategies and generating intellectual
property. We lead technology investigations, analyze industry capabilities and recommend potential
acquisitions or vendor partner opportunities. Our insights influence product architecture and definitions.
And we work with colleagues across the business to ensure our products always lead the way.
Join us as a Staff Technologist-AI Architect on our ISG-CTO team in Santa Clara, California to do the best work of your career and make a profound social impact.
What you’ll achieve
As a Staff Technologist-AI Architect, you will architect Dell’s next-generation AI Architecture (including the Dell AI Factory) by driving the empirical characterization, performance modeling, and full-stack integration of frontier AI models and autonomous agentic systems. You will evaluate cutting-edge model architectures, build automated performance benchmarking harnesses across diverse accelerators, and design turnkey production architectures bridging Kubernetes, low-latency inference runtimes, enterprise data platforms, and confidential hardware fabrics.
You will:
- Architect Dell’s Next-Gen AI Architectures: Drive end-to-end reference architectures and system-level validation for enterprise-scale AI platforms (e.g., Dell AI Factory, rack-scale IR7000/IR9100 liquid-cooled systems, and modular HGX/NVLink clusters).
- Frontier Model Characterization & Trend Tracking: Track, evaluate, and characterize emerging frontier model architectures and reasoning paradigms (e.g., dense Transformers, large-scale Mixture-of-Experts like DeepSeek-V3/V4 and Llama 4 Scout, hybrid attention, and native multimodal models).
- Hands-On Deployment & Performance Benchmarking: Design and automate hands-on benchmarking pipelines to rigorously measure critical inference metrics across real-world workloads (e.g., profiling Time to First Token [TTFT], Inter-Token Latency [ITL], prefill/decode disaggregation, KV-cache memory offload, and FP8/FP4 quantization).
- Agentic Frameworks & Multi-Agent Systems: Understand and design for autonomous, multi-step agentic execution patterns, tool calling, and execution loops (e.g.NVIDIA OpenShell sandboxes).
Data & Context Layer for AI: Integrate high-throughput data pipelines and context-grounding platforms to eliminate ETL and prevent hallucinations (e.g., Dell AI Data Platform [AIDP], Starburst/Trino federated SQL, Apache Spark, Elasticsearch vector indexing, and RAG architectures).
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- 15+ years of professional experience with a Bachelor’s degree or equivalent experience in Engineering (Advanced degree highly preferred)
- Deep technical understanding of GPU architectures and emerging alternate accelerators to match model workloads to optimal hardware.
- Experience with Production Storage & High-Speed Data Fabrics: Architect high-throughput, low-latency data and network fabrics essential for continuous AI pipelines (e.g., Dell PowerScale all-flash NFS with GPUDirect Storage [GDS], Dell ObjectScale S3, RoCEv2/Spectrum-X Ethernet, and InfiniBand).
- Experience designing Confidential Computing & Enterprise Security: Implement hardware-anchored zero-trust security and data-in-use protection for sensitive enterprise models and regulated data (e.g., NVIDIA Confidential Computing, AMD SEV-SNP, Intel TDX, and SPIFFE/mTLS attestation).
- Inference Serving Engines & Ecosystem Mastery: Deploy, optimize, and evaluate production-grade inference serving frameworks (e.g., vLLM, TensorRT-LLM, SGLang, and Triton Inference Server).
- Enterprise Kubernetes & Infrastructure Orchestration: Architect resilient containerized AI environments utilizing modern Kubernetes platforms, operators, and schedulers (e.g., Red Hat OpenShift, Kubernetes Gateway API, NVIDIA GPU Operator, and Run:ai).
Desirable Requirements
- Ability to travel and to assess customer requirements, develop blueprint based on the customer's geographical area with strong verbal and written communication skills along with customer and partner project/program leadership experience