Top Remote Solutions Architect Jobs

Lead GPU and HPC cluster architecture and deployment for cloud partners: design end-to-end GPU/NVLink infrastructures, perform performance modeling, validate and debug cluster configurations, support NPI deployments, and serve as technical liaison between engineering, product, and field teams.

Develops high-performance computing, AI, machine learning, and GPU solutions for customers and partners. Acts as a trusted technical advisor, designs enterprise GPU and networking architectures, supports AI and HPC applications, creates technical documentation and educational content, and collaborates with industry teams, developers, researchers, and senior stakeholders. The role includes customer engagements, partner strategy, solution delivery, and leadership across complex technology initiatives.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Provide technical mentorship to customers adopting NVIDIA’s GenAI stack, build and deploy agentic AI solutions, create demonstrations and proofs of concept, deliver technical workshops, develop industry collateral, and collaborate with engineering, product, and sales teams to secure design wins. The role focuses on optimizing and deploying large language models, leveraging GPU clusters, inference engines, cloud platforms, and AI development frameworks.

Serve as the embedded systems expert for NVIDIA Physical AI partners, integrating sensors, deploying and optimizing robotics foundation models on Jetson-class edge hardware, guiding customers from prototype to production, and delivering reference implementations and workshops.

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.

Design and validate Ethernet networking fabrics for AI/HPC clusters; mentor customers; build demos/POCs; create reference architectures and training; collaborate with engineering, product, and sales to secure design wins and drive product feature development.

Architect and optimize large-scale GPU AI infrastructure: profile distributed training/inference, diagnose networking and system bottlenecks, design high-performance clusters, lead POCs, automate benchmarking, and drive technical engagements with customers and internal teams.

Designs and implements customer solutions for a freight-loading dock sensor platform. Responsibilities include mapping logistics processes, supporting hardware and software deployments, optimizing sensor placement, identifying automation and integration opportunities, conducting ROI analyses, delivering product demonstrations, managing demo environments, and advising clients and partners on complex technical solutions. The role requires supply chain systems knowledge, strong customer-facing communication, and approximately 50% travel.

Serve as the primary technical strategist for Federal Civilian customers, mapping mission requirements to Elastic solutions. Lead presales engagements, technical evaluations, demonstrations, proofs of concept, architectural prototypes, and account strategy. Build relationships with technical and executive stakeholders, collaborate with systems integrators and partners, support RFIs/RFPs, and advocate for federal security, compliance, air-gapped, and data-sovereignty requirements. Represent Elastic at public-sector events and influence product direction based on customer needs.

Designs and oversees enterprise systems and applications architecture, translating business and technical requirements into scalable solutions. Builds and validates AI, automation, cloud, and agent-based prototypes using Databricks and Microsoft technologies. Establishes architecture standards, reusable patterns, engineering practices, and DevOps processes while mentoring development teams and guiding solutions through production deployment. Evaluates emerging technologies and aligns infrastructure and application strategies with business goals.

Designs scalable, secure enterprise solution architectures for a federal data and analytics modernization platform. Develops architecture artifacts, reference architectures, ADRs, and Architecture Review Board materials; evaluates integrations, dependencies, risks, and technical tradeoffs; and guides cloud, API, data, security, migration, and AI/ML architecture decisions. Collaborates with engineering, security, compliance, data, delivery, and customer teams to support modernization roadmaps, governance, platform adoption, and successful implementation.

Leads enterprise-scale Ignition SCADA architecture across multiple industrial sites. Defines reference architectures, deployment templates, integrations, networking and security standards, high availability, commissioning, and production-readiness practices. Assesses plant environments, integrates PLCs and industrial protocols, resolves complex technical issues, oversees deployment teams, documents standards, mentors engineers, and develops the long-term OT/SCADA technology roadmap.

Own technical presales engagements with B2B customers by designing solutions, building demos and proofs of concept, developing API integrations, and translating customer requirements into technical specifications. Partner with sales, product, engineering, and public safety teams to assess feasibility, manage technical risk, support account strategies, and serve as a trusted technical advisor. Use AI tools to prototype solutions and improve customer outcomes. Travel may be required up to 25%.

Leads technical strategy and architecture for fintech customers, from discovery through production deployment and platform adoption. Designs scalable data engineering, ML/AI, streaming, and real-time analytics solutions; advises senior technical stakeholders; supports competitive sales engagements; coordinates internal and partner resources; and provides product feedback. The role requires strong Python and SQL coding, Databricks expertise, public-cloud deployment experience, and the ability to translate complex architectures into business value.

Leads technical engagements with hyperscale datacenter customers and compute/networking vendors. Translates customer roadmaps and architecture requirements into product and technology inputs, evaluates emerging AI datacenter trends, supports sales and engineering teams with technical context, and develops conceptual demonstrations and technical marketing initiatives for 3M optical interconnect solutions.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering, data, security, product teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, vendor relationships, discovery and intake processes, delivery alignment, and performance metrics. Evaluate AI-supported process improvements, ensure compliance and operational readiness, and deliver measurable gains in efficiency, quality, cycle time, and stakeholder satisfaction.

Design technical architectures and roadmaps for client projects and internal products. Lead technical strategy, evaluate technology and AI adoption, scope and estimate projects, participate in sales and executive discussions, and make build-versus-buy decisions. Solve critical engineering problems hands-on, review architecture and code, mentor technical leaders, and ensure scalable, secure, cost-effective delivery across remote distributed teams.

Serve as the senior technical authority for global public cloud architecture across strategic customer engagements. Define reference architectures, standards, guardrails, and cloud service offerings; lead complex multi-region and multi-cloud designs; advise executive stakeholders; partner with Sales, Product, Engineering, Support, and Customer Success; build reusable automation and technical IP; mentor architects; establish competency standards; and influence product roadmaps and delivery methodology.

Lead technical architecture for Google Cloud CX and Gemini-powered contact center solutions. Design conversational AI agents, Agent Assist, Conversational Insights, CCaaS implementations, CRM and telephony integrations, and network architectures. Serve as a technical advisor to customers and Google partners, lead discovery workshops and sales pursuits, oversee implementation scalability and security, and align solutions with enterprise goals.

Leads Adobe-focused go-to-market strategy, solution architecture, alliance engagement, and pre-sales activities. Partners with Adobe, internal teams, and clients to shape opportunities, develop solution narratives, deliver demonstrations, influence account growth, and position AI-powered customer experience solutions. The role requires executive communication, technical credibility, Adobe platform expertise, and the ability to connect technology investments with measurable business outcomes without owning delivery execution.

Leads complex enterprise architecture engagements, technical and consumption strategy, executive customer relationships, platform adoption, competitive evaluations, and AI/data solutions. Serves as a Databricks technical authority, orchestrates cross-functional teams, mentors solutions architects, develops competitive strategies, and contributes to field engineering thought leadership. Responsibilities span enterprise migrations, real-time systems, lakehouse platforms, data governance, and AI/ML at scale.

Leads pre-sales strategy, solution architecture, alliance engagement, and thought leadership for Adobe-powered customer experience solutions. Partners with Adobe, clients, and internal teams to shape opportunities, develop go-to-market offerings, deliver demonstrations, influence account growth, and translate complex technology into measurable business outcomes. Focus areas include AI, automation, CRM, loyalty, personalization, journey orchestration, and digital transformation.