Top Remote Solutions Architect Jobs

Lead customer discovery, workshops, and solution design for secure hybrid and multi-cloud architectures. Serve as the technical lead throughout sales cycles, translating business needs into hosted, public cloud, networking, security, compliance, backup, and disaster recovery solutions. Collaborate with sales, product, and cloud specialists on RFPs, scoping, presentations, and handoffs. Educate customers on current and emerging cloud, AI, automation, and cybersecurity capabilities.

Lead technical strategy and joint solution architecture with Accenture, designing enterprise AI, graph, integration, and cloud-platform offerings. Drive partner enablement through architecture sessions, hackathons, bootcamps, proofs of concept, and reference architectures. Collaborate with sales, alliances, product, and engineering teams on strategic enterprise transformations, while influencing platform capabilities and supporting co-delivery governance.

Advise prospects and customers on adopting GitLab’s AI-powered DevSecOps platform. Lead technical discovery, demonstrations, proofs of concept, workshops, solution architecture, and technical evaluations. Partner with sales teams to support pipeline and expansion, guide customers through software delivery, security, and cloud adoption, and communicate field feedback to product and engineering teams.

Leads technical pre-sales activities for GitLab’s AI-powered DevSecOps platform across Southern EMEA. Responsibilities include customer discovery, demonstrations, solution architecture, proofs of concept and value, workshops, tenders, audits, and value stream assessments. Advises customers on software development, CI/CD, security, and cloud practices; collaborates with Account Executives on account strategy; builds customer relationships; and communicates feedback to Product, Engineering, Sales, and Marketing.

Manages a distributed team of Solutions Architects across India while serving as a player-coach on strategic sales opportunities. Leads technical evaluations, workshops, demonstrations, and proof-of-concept engagements; builds executive customer relationships; and translates technical requirements into business outcomes. The role also owns regional operating practices, forecasting, resource allocation, KPI tracking, cross-functional alignment, hiring, coaching, and team development across Sales, Channel, Marketing, Enablement, and Product Management.

Own end-to-end AI intake implementations for plaintiff law firms, including voice-agent configuration, phone systems, lead sources, CRM and document integrations. Tune agents through real-call reviews, develop evaluation processes, resolve implementation issues, and create reusable templates and runbooks. Partner with product and engineering to improve intake capabilities and support complex client setups. Regularly work with legal firms and travel to client sites or the Bay Area.

Lead post-sales technical implementations for enterprise customers, including onboarding, integrations, system architecture, workflow configuration, and deployment strategy. Design custom solutions using APIs and complex client environments, advise customers on developer experience analytics and engineering practices, lead technical workshops, and translate architecture into business value. Partner with Customer Success, Product, and Engineering teams while synthesizing customer feedback to influence the product roadmap.

Leads a regional team of product subject matter experts supporting complex enterprise opportunities across security, compliance, platform, DevSecOps, AI, and competitive products. Responsibilities include hiring and coaching specialists, managing engagement coverage, partnering with sales leadership on deal strategy and forecasts, serving as an executive technical sponsor, improving technical win rates and consumption, maintaining Salesforce data, and sharing customer insights with Product and Engineering.

Serves as the technical authority for a GitLab product group in complex enterprise presales opportunities. Leads architecture discussions, technical deep dives, demos, workshops, executive briefings, PoV evaluations, and customer adoption efforts. Develops reference architectures, playbooks, battlecards, and enablement materials; mentors Account Solutions Architects; escalates complex technical issues; and provides customer and competitive feedback to Product and Engineering.

Build and lead MapQuest APIs' technical selling function for enterprise customers. Conduct technical discovery, create proofs using customer geospatial data, win competitive evaluations, develop migration tools and code samples, and own technical customer sign-off through implementation handoff. The role combines solutions architecture, development, technical sales, and geospatial investigation while supporting enterprise API revenue growth.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Design and implement secure development solutions for enterprise customers, including CI/CD integrations and DevSecOps adoption. Lead discovery sessions, architecture workshops, technical presentations, proof-of-concepts, and customer implementations. Troubleshoot integrations, build technical relationships, provide product feedback, and contribute to reference architectures and documentation. The role supports customers across pre-sales and post-sales engagements and requires coding, cloud, software development, and AI-assisted tooling experience.

Leads complex hybrid cloud solution design and presales activities, translating customer business needs into technical architectures and value propositions. Manages proposals, demonstrations, proofs of concept, stakeholder expectations, account planning, pipeline development, forecasting, and partner collaboration. Advises executives on transformation strategies, evaluates trade-offs and risks, develops customer demand, and supports opportunities through the sales cycle. Requires deep technical consulting, solution selling, enterprise architecture, cloud services, business planning, and executive communication expertise.

Serve as a technical pre-sales advisor for GitLab’s AI-powered DevSecOps platform across Southern EMEA. Lead discovery, demonstrations, workshops, solution design, proofs of value, tenders, audits, and technical evaluations. Advise customers on software development, CI/CD, security, cloud, and digital transformation while partnering with Account Executives and internal teams to support revenue growth, platform adoption, and customer advocacy.

Designs and deploys large-scale NVIDIA AI and HPC GPU infrastructure for cloud partners and strategic customers. Leads technical engagements across the customer lifecycle, supports infrastructure development and production, builds networking and compute proofs of concept, troubleshoots performance and scaling issues, and delivers technical presentations and workshops. Partners with sales and business teams to identify opportunities and provides customer feedback to influence product strategy.

Serve as the senior technical contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms. Own customer issues end to end, including troubleshooting, failure analysis, RMA procedures, root-cause investigation, and coordination with OEM support and NVIDIA engineering. Support secure Federal environments such as FedRAMP, IL5/IL6, and air-gapped SCIF facilities while maintaining sanitization and chain-of-custody requirements. Analyze multi-GPU systems, firmware, operating systems, networking, storage, and distributed workloads, with up to 35% travel.

Leads technical engagements with VMware and ecosystem partners to design, validate, and deploy NVIDIA GPU-accelerated virtualization solutions. Maps customer workloads to NVIDIA technologies, supports vGPU, AI, data science, and visualization deployments, troubleshoots complex issues, drives platform adoption, and influences product roadmaps through customer feedback and cross-functional collaboration.

Leads NVIDIA’s OEM Solutions Architecture organization, coordinating technical teams through new product introduction, product integration, end-to-end solution development, and large-scale customer deployments. The role manages technical engagement priorities, resolves partner issues, aligns engineering and sales stakeholders, influences OEM strategy, and supports recruiting and team growth. It requires extensive OEM, data center deployment, solutions architecture management, cross-functional leadership, project management, and NVIDIA technology expertise.

Partner with engineering, product, and sales to design and deliver GPU-accelerated ML/HPC solutions for capital markets. Lead POCs, profile and optimize ML/DL models on NVIDIA GPUs, collaborate with client researchers to deploy models at scale on cloud or on-prem HPC, and produce technical collateral (notebooks, blogs) to drive adoption.

Architect and demonstrate simulation workflows using DSX Sim and Omniverse libraries to help partners and customers build, validate, optimize, and operationalize AI factory digital twins. Drive integration of Omniverse libraries, develop reference architectures, prototypes, benchmarks, and sample workflows, and coordinate with sales, product engineering, and partners to resolve blockers and advance adoption.

Designs scalable enterprise SaaS solutions, translates customer needs into technical requirements and implementation plans, develops architecture diagrams and Statements of Work, and advises customers throughout the sales-to-deployment lifecycle. Connects field insights with Product and Engineering roadmap decisions, improves solutioning processes, identifies implementation risks, mentors pre-sales and professional services teams, and strengthens reusable frameworks, integration patterns, and delivery practices.

Leads client discovery and designs architectures for web, mobile, and AI products. Defines scopes, integrations, data models, cloud deployments, security, privacy, multi-tenant systems, and AI/RAG features. Reviews code and technical approaches, guides engineers, manages technical risks, and owns architecture quality through delivery. Requires strong client communication, software engineering experience, cloud expertise, integration design, production AI architecture, and agency or consultancy experience.

Lead client discovery and design architectures for web, mobile, and AI products. Define scopes, data models, integrations, cloud infrastructure, security, privacy, multi-tenant systems, and AI/LLM capabilities. Review code and technical approaches, guide engineers, manage technical risks, and maintain architecture documentation through delivery. The role requires client-facing communication, strong backend and cloud fundamentals, production architecture experience, and the ability to translate technical trade-offs into clear plans.

Own and support the XaitCPQ platform used for professional services scoping, pricing, proposals, and change requests. Investigate issues, triage bugs, configure workflows, coordinate with stakeholders and vendors, create documentation and training materials, support onboarding, and identify process improvements. The role requires strong communication, technical problem-solving, attention to detail, and familiarity with presales, professional services, platform administration, APIs, scripting, or related IT functions.

Represent 3M in optical interconnect standards organizations, lead technical contributions and specifications, translate standards and ecosystem trends into product strategy, build partnerships with hyperscale customers and vendors, and develop demonstrations supporting technical marketing. The role requires expertise in optical interconnect, co-packaged optics, data center connectivity, industry standards, and related optical technologies. It is remote in the US with travel of up to 30%.