Top Solutions Architect Jobs

Lead client-facing Commerce Analytics and Insights engagements: translate client goals into analytic scopes and execution plans, align stakeholders, connect needs to Criteo products, and drive delivery and scalable solutions. Act as strategic partner across commercial, product, data science, and analytics teams to prioritize work, ensure methodological feasibility, and convert recurring asks into repeatable frameworks or product feedback.

Lead Day 2 operations engagements with NVIDIA Cloud Partners: diagnose and fix production GPU/HPC/cloud issues, prototype and validate fixes, improve reliability, performance, and economics, and convert solutions into reusable procedures, automation, and feedback for product and engineering teams.

Seeking a Cloud Solutions Architect to support security and architecture for systems handling sensitive data, requiring design, development, and accreditation experience across network fabrics.

Senior presales network solutions architect responsible for leading technical relationships, driving discovery, designing enterprise data center, campus, WAN and security architectures, enabling sales pipeline, mentoring engineers, and delivering business-focused network solutions across the Mountain States region.

The Solutions Engineer will partner with teams to develop technical strategies, engage with customers to understand needs, create tailored solutions, and provide technical leadership in software architecture and system integration.

The Sr. Solutions Architect leads teams in resolving software configuration issues, implements DevOps practices, and ensures quality software delivery through automation and cloud tools.

The Sr Solutions Architect is responsible for design, architecture, and performance analysis of storage solutions, with a strong emphasis on VMAX3 AFA and Symmetrix. The role involves hands-on experience in configuring storage from end to end, including SAN and hypervisor integration, along with proficiency in scripting and knowledge of various operating systems.

Lead performance engineering for AV and robotics workloads: engage customers, develop parallel algorithms and GPU-optimized libraries, profile and tune GPU kernels, optimize distributed transformer communication using NCCL/NVSHMEM and interconnect strategies, and collaborate with architecture and system teams to influence next-generation hardware and software.

Lead integration and deployment of NVIDIA networking for hyperscale AI/HPC customers. Analyze, design, implement, and troubleshoot large-scale networks; develop PoCs; run technical meetings, debugging sessions, and workshops; partner with Sales and Product teams to define requirements and secure opportunities.

Lead pre-sales and post-sales technical engagements to help customers adopt Aiven's managed open-source services. Conduct proofs-of-concept, ensure customer stability and enablement, support sales processes, create technical content (blogs, webinars, talks), and travel up to 20% to build and maintain customer relationships.

Lead partner engagements to design, prototype, and deploy production-grade agentic AI systems on NVIDIA GPUs. Architect multi-agent workflows, RAG, tool use, planning, memory, evaluation, and guardrails; build PoCs, benchmarks, and reference architectures; optimize performance and cost; guide model customization and post-training workflows; use agent harnesses and translate findings to product and engineering teams for platform improvement and field enablement.

Advise ISVs on designing, deploying, and optimizing large-scale accelerated AI infrastructure. Lead architecture reviews, POCs, benchmarks, and production deployment guidance across compute, networking, storage, containers, orchestration, observability, and CI/CD. Create reference architectures, sizing guidance, technical playbooks, demos, and whitepapers. Support cluster monitoring, reliability, and performance improvements. Up to 20% travel for customer engagements.

Partner with industry and account teams to design and deliver NVIDIA-based AI, HPC, and GPU/networking solutions for industrial robotics. Engage customers and partners, produce technical documentation and samples, support deployments both in datacenters and at the edge, and lead technical engagements with lighthouse customers and solution partners.

Design and scale Kubernetes-native, GPU-accelerated cloud architectures for large-scale robotics simulation, synthetic data pipelines, training, and inference. Advise partners, optimize scheduling, storage, networking, and GPU utilization, and drive adoption of NVIDIA Physical AI frameworks while collaborating with product and engineering teams.

Lead architecture and solution design for application modernization programs supporting federal agencies. Drive application portfolio transformation, contribute to BI's transformation framework, produce thought leadership artifacts, and support proposal technical volume development.

Lead solution architecture and delivery for AI-related projects in manufacturing. Collaborate with cross-functional teams to develop integrations and manage data pipelines while ensuring high quality and project success.

The Senior Solutions Architect for Microsoft AI will lead presales activities, develop AI solutions, and manage client engagements, ensuring integration across platforms.

Lead enterprise FinOps and cloud cost optimization programs: identify waste, design governance, analyze usage data, recommend and implement optimizations, build analytics/reporting, advise stakeholders, mentor teams, and drive measurable cost reductions.

Serve as a technical strategist/solutions architect bridging quantum R&D and commercial teams. Lead technical customer discussions, create go-to-market assets, inform product roadmaps with customer insights, and coordinate cross-functional delivery to ensure customer-fit and trust.

Technical pre-sales AI architect responsible for designing end-to-end enterprise AI architectures, whiteboarding GPU cluster and MLOps solutions, coordinating ATC proof-of-concepts, aligning with NVIDIA and hyperscaler partners, producing BOMs/sizing/POC plans, and enabling clean handoffs to delivery teams while supporting revenue-generation and co-selling activities.

Serve as the regional technical pre-sales architect for enterprise AI solutions: design end-to-end AI architectures, lead discovery and POC engagements with the ATC, validate NVIDIA and hyperscaler integrations, produce reference architectures/BoMs/sizing, and ensure clean handoffs to delivery. Operate in a revenue-focused co-selling model alongside sales and partner teams to win and scope AI deals at enterprise scale.

Senior architect responsible for designing end-to-end AI Factory and HPA infrastructure (GPU compute, networking, storage, MLOps). Engage C-suite, produce reference architectures and IP, lead technical enablement, size GPU environments, advise on security and regulatory frameworks, and mentor architects across AI, networking, storage, and services.

Technical pre-sales AI architect responsible for designing end-to-end AI/ML architectures, leading discovery and POC lab engagements, co-selling with sales and partners, producing reference architectures, BOMs, sizing models, and ensuring clean handoff to delivery teams. Operates in a revenue-generating, customer-facing pre-sales role and collaborates with NVIDIA, hyperscalers, and infrastructure partners.

Own technical customer engagements for Lumai's optical compute inference platform: lead deep technical discovery, scope and run benchmarks, design solutions and reference architectures, produce proposals/RFIs/RFPs, deliver demos/workshops, and feed customer requirements into product and engineering roadmaps.

Architect and oversee end-to-end telematics systems, provide technical leadership to cross-functional teams, define standards and designs, guide integration (BPM/ESB), cloud, NoSQL, J2EE and mobile solutions, and drive build/release, testing, and troubleshooting for enterprise-scale applications.