Senior Solutions Architect - AI Infrastructure & Edge Computing - ISV Partners , WWPS Global ISV Partners
Amazon22 hours ago
Base Salary
$154k - $229k/yr
Responsibilities
- Own the technical relationship with accelerated-computing and edge-AI partners from initial architecture sessions through production deployment.
- Design GPU-accelerated AWS infrastructure, including multi-node training clusters, EFA networking, high-performance storage, and container orchestration.
- Guide deployment and optimization of open-weight foundation models for cloud, edge, sovereign, and air-gapped environments.
- Architect DDIL and disconnected-compute solutions using NVIDIA Jetson, IGX, embedded GPU platforms, AWS Outposts, and ECS Anywhere.
- Lead model optimization and right-sizing using quantization, distillation, pruning, LoRA, and QLoRA.
- Conduct architecture reviews, Well-Architected assessments, proof-of-concept builds, benchmarks, and reusable technical-content development.
- Develop relationships with partner CTOs, engineering leaders, and public-sector stakeholders and translate technical capabilities into mission outcomes.
- Drive AWS product feature requests and evaluate model accuracy, latency, throughput, GPU utilization, reliability, and cost.
- Travel approximately 30% for partner visits, customer engagements, and industry events.
Requirements
- 3+ years of design, implementation, or consulting experience in applications and infrastructure.
- 8+ years of experience in relevant technology domains such as systems engineering, infrastructure, GPU or accelerated computing, networking, security, or cloud architecture.
- Experience developing and deploying production LLMs on GPUs, Neuron, TPU, or other AI acceleration hardware, or experience with PyTorch, JIT compilation, and AOT tracing.
- Experience with containerized and distributed computing architectures such as Kubernetes, ECS, or EKS.
- US citizenship and the ability to obtain and maintain an active TS/SCI security clearance.
- Preferred experience working with end-user or developer communities and with partner sales or alliance development.
- Deep familiarity with NVIDIA CUDA, TensorRT, Triton Inference Server, NIM microservices, Jetson, IGX, and NVIDIA AI Enterprise.
- Hands-on experience with Llama, Mistral, Falcon, Phi, Gemma, vLLM, TensorRT-LLM, quantization, and LoRA fine-tuning.
- Experience with edge, disconnected, DDIL, and hybrid-cloud architectures, including AWS Outposts and ECS Anywhere.
- 5+ years of infrastructure architecture experience involving InfiniBand, RDMA, EFA, distributed storage, and cluster management.
- Defense or Intelligence Community experience and familiarity with IL4/IL5/IL6, NIST 800-53, CMMC, FedRAMP, and ITAR.
Benefits
- Comprehensive health coverage including medical, dental, vision, prescription, life and AD&D insurance, an employee assistance program, mental health support, a medical advice line, and flexible spending accounts.
- 401(k) matching, paid time off, parental leave, adoption and surrogacy reimbursement, sign-on payments, and restricted stock units.
- Inclusive culture, employee affinity groups, mentorship, career-growth resources, and workplace flexibility.
- The role is based in specified locations in Florida, New York, Texas, or Virginia and requires approximately 30% travel.
Tech Stack
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.