Top Solutions Architect Jobs

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.

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%.

Designs and enables AI inference-aware networking solutions for telecom software vendors and customers. Applies NVIDIA and open-source tools to build scalable, secure, workload-aware networks; develops reference architectures; guides developers on AI-Grid platforms and SDKs; supports deployment and adoption; and advises on network telemetry, orchestration, observability, cloud networking, and telecom infrastructure.

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.

Lead technical solution integration for strategic customers, cloud providers, and hyperscalers using NVIDIA AI infrastructure. Develop and deploy compute and networking solutions, support customer proofs of concept, conduct technical workshops and performance debugging, and advise business and engineering teams on product strategy. The role requires deep expertise in AI data-center networking, GPUs, InfiniBand, Ethernet, PCIe, switches, hosts, optics, and rack-scale infrastructure.

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.

Develop and deploy autonomous vehicle and Generative AI solutions using NVIDIA technologies. Advise customers, lead proof-of-concept evaluations, mentor partners, build technical demonstrations, and collaborate with sales, engineering, and product teams. Focus areas include AV perception and planning, simulations, synthetic data, agentic AI, model training, inference optimization, and GPU-accelerated workflows.

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.

Leads architecture strategy, AI-driven development lifecycle adoption, and multi-year roadmaps for customer digital platforms spanning web, mobile, chat, call centers, and customer applications. Establishes architecture guardrails, CI/CD and observability standards, modernization priorities, investment recommendations, and governance. Partners with product, engineering, security, operations, and business leaders to improve delivery effectiveness, resilience, security, customer experiences, and technology reuse while developing architecture talent and leading cross-functional teams.

Leads solution architecture and engineering strategy for financial-services applications, data platforms, and AI initiatives. Designs scalable enterprise applications, data architectures, integrations, pipelines, and AI solutions using modern technologies. Provides technical direction, architecture and code reviews, governance, production support, vendor assessments, and roadmap planning. Partners with senior business and technology stakeholders, mentors distributed engineering teams, and drives delivery across capital-markets functions including repo, collateral, custody, securities lending, and asset management.

Leads oversight and governance for a Medicaid Fiscal Agent Services solution within a Medicaid Enterprise System. Guides architecture, integrations, APIs, data exchange, cloud adoption, security, compliance, and modernization. Reviews designs, develops architectural artifacts and roadmaps, coordinates vendors and technical teams, and ensures alignment with CMS, MITA, NIST, HIPAA, and enterprise standards. The hybrid role requires two onsite days weekly near Richmond, Virginia.

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%.

Lead technical discovery, enterprise solution architecture, security and deployment discussions for AI customer opportunities. Design and guide proof-of-value pilots using customer data, define production reference architectures, and support expansion. Partner with sales, engineering, product, and customer success while advising senior technical stakeholders on data platforms, LLMs, RAG, integrations, cloud environments, and enterprise AI strategy.

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.

Designs and delivers SAP solutions aligned with business processes and strategic objectives. Responsibilities include SAP architecture, integrations, S/4HANA implementations, upgrades, process optimization, governance, compliance, testing, stakeholder collaboration, functional-team guidance, user support, and mentoring. The role supports SAP BTP, Fiori, AI-driven analytics, audit readiness, and digital transformation initiatives while ensuring scalable, cost-effective solutions and adherence to clean-core and change-management practices.