Top Remote Solutions Architect Jobs

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.

Lead AI transformation and pre-sales solution strategy for enterprise customers using Microsoft AI and Copilot technologies. Drive discovery, architecture, workshops, demos, POCs, governance, and adoption planning. Orchestrate partners and cross-functional teams, translate technical capabilities into measurable business outcomes, and coach peers while scaling repeatable solution plays across accounts.

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 PIM/PXM strategy and architecture to optimize product content lifecycle, governance, enrichment, and syndication. Collaborate with merchandising, marketing, and operations to design scalable product data models, run discovery workshops, mentor delivery teams, and translate business requirements into implementation plans that improve digital shelf performance and operational efficiency.

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.

Lead presales engagements and RFP responses to design and defend large-scale network, cloud, and infrastructure security solutions. Produce HLD/LLD, Bills of Materials, proposals, SOWs, and POCs; coordinate OEMs and third parties; mentor staff; analyze requirements and deliver techno-commercial solutions and roadmaps. Heavy client travel and quota-bearing Go-to-Market responsibilities.

Lead technical engagements to integrate NVIDIA GPU, networking, and AI platforms into industrial robotics solutions. Partner with customers, partners, and internal teams to design, document, and deliver scalable AI/HPC datacenter and edge architectures, provide technical guidance, and create samples, whitepapers, and demos.

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.

The role involves leading technical strategies for major accounts, implementing data-driven transformations, and showcasing Databricks products through proofs of concept.

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.

Client-facing senior solutions architect role designing multi-cloud (AWS/Azure/GCP) architectures, leading cloud modernization and cost-optimization (FinOps) engagements, and guiding AI adoption. Responsibilities include discovery workshops, architecture assessments, governance design, Kubernetes production guidance, mentoring teams, and delivering measurable cloud cost savings using tools like Helias.

Lead CTEM presales and advisory engagements for enterprise clients: architect continuous exposure programs, translate adversary-informed findings into business risk, drive GTM strategy, deliver executive briefings, proofs-of-value, and SOC transformation guidance while aligning CTEM technology partners.

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.

Architect and deliver high-performance storage and data platform solutions for AI/ML workloads. Lead design and sizing of parallel file systems, object storage, GPU-Direct and NVMe-oF fabrics, data lakehouse architectures, and data pipelines. Engage customers and partners, produce HLDs/LLDs/BOMs, enable field teams, and drive partner alignment and business development.

Customer-facing solutions architect role designing AI data infrastructure and storage platforms. Advise on AI data readiness, NVIDIA AI Data Platform integration, data pipeline and lakehouse architectures, deliver workshops, reference architectures, pre-sales proposals, and partner-aligned solutions for enterprise AI workloads. Travel required for customer and partner engagements.

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.

The Sr. Solutions Architect will serve as a technical advisor for sales, develop customer relationships, and demonstrate Elastic's solutions, requiring a deep understanding of customer needs and the Elastic platform.

Lead enterprise professional services engagements to design and deliver end-to-end solutions that combine Airtable and AI-driven agentic workflows. Shape early recommendations, redesign business processes, create reusable solution patterns, manage stakeholders and delivery, and remain accountable through implementation for enterprise-scale outcomes across multi-business-unit, compliance-conscious organizations.

Customer-facing senior Solutions Architect leading and mentoring engineers to design and deliver cloud-native, secure CI/CD solutions. Own POCs and packaging (Zarf/UDS), build CI/CD pipelines, deploy and troubleshoot containers and Helm/Kustomize artifacts across AWS/GCP/Azure, and drive process improvements and enablement for Defense customers.

Lead design and delivery of Salesforce Media Cloud and Revenue Cloud solutions for broadcasters, publishers, and streaming platforms. Translate business requirements into scalable architectures across CPQ, Billing, Media Cloud data models, OmniStudio, and guided selling. Drive ad-sales, subscription, and content licensing workflows, run discovery workshops, perform fit-gap analyses, mentor teams, and ensure solution alignment with business outcomes and Salesforce best practices.

Designs, architects, and delivers cloud solutions from conception through production. Partners with business and technical teams to map requirements, drive reusable IaC and serverless patterns, secure and observable cloud deployments, and own enterprise streaming platform strategy (Kafka/Confluent). Ensures compliance with architecture standards, risk management, and cross-domain alignment.