Top Solutions Architect Jobs

Serve as the technical authority for sales teams, customers, and partners across an assigned territory. Develop customer relationships, understand business goals, design architectures, demonstrate Elastic products, support sales cycles, enable partners, create collateral, and communicate customer needs to engineering and leadership. The role requires technical presales expertise, strong communication and influencing skills, continuous learning, and 30% regional travel plus occasional international travel.

Leads client-facing architecture engagements for vulnerability and exposure management, CTEM, attack surface management, risk-based prioritization, remediation workflows, and security operations integration. Designs target-state architectures, operating models, automation, and AI-assisted capabilities; develops reference architectures and packaged offerings; supports presales, proposals, executive briefings, partner initiatives, and technical enablement. Requires deep cybersecurity expertise, enterprise platform experience, strong communication skills, and approximately 25–35% travel.

Lead enterprise ServiceNow CMDB and CSDM architecture, implementation, remediation, governance, and optimization. Advise customers through maturity assessments, workshops, data modeling, integration strategy, data quality improvement, and roadmap development. Lead technical reviews, executive presentations, delivery quality controls, and complex issue resolution while mentoring architects and collaborating with delivery and sales teams. Maintain ServiceNow certifications and develop repeatable methodologies for scalable CMDB and CSDM engagements.

Designs and prototypes AI-enabled legal technology solutions, translating legal workflows into secure, governed architectures. Partners with lawyers, stakeholders, product managers, and engineers to define requirements and guide delivery. Builds production Python services and document workflows using LLMs, retrieval, RAG, agents, and cloud technologies. Leads discovery workshops, user testing, technology evaluations, and continuous improvement while ensuring privacy, security, compliance, and responsible AI standards.

Leads the architecture, development, integration, and deployment of Anaplan models supporting revenue accounting, incentive compensation, sales forecasting, and FP&A. Partners with stakeholders to translate business needs into scalable planning solutions, designs user interfaces and dashboards, manages delivery timelines and quality, and provides technical guidance, training, documentation, and ongoing platform support.

Designs and demonstrates computer vision solutions for customer opportunities, including model selection, data strategy, evaluation, edge deployment, and business-case development. The role leads discovery, high-level architecture, proofs of concept, demos, partner engagement, and technical enablement. It requires hands-on expertise across classical computer vision, deep learning, video intelligence, vision language models, model lifecycle management, and edge optimization, plus strong customer-facing and commercial communication skills.

Owns enterprise data modeling standards, canonical data model governance, data hub architecture, and integration contracts. Designs conceptual, logical, and physical models; partners on API and iPaaS orchestration, routing, and versioning; establishes master and reference data synchronization standards; aligns models with lakehouse consumption layers; leads architecture reviews; maintains data documentation; and supports root-cause analysis for integration defects.

Designs and presents HPE data, storage, private cloud, and hybrid cloud solutions for complex enterprise customers. The role gathers technical requirements, architects solutions, leads proof-of-concepts, develops value propositions, supports competitive sales pursuits, maintains pipeline accuracy, and transitions winning designs to implementation teams. Regular customer engagement is required in the San Jose and broader Bay Area, with potential federal customer support requiring U.S. citizenship.

Work directly with customers to design, prototype, deploy, and troubleshoot production systems using Restate’s durable execution infrastructure. Responsibilities include architecture discussions, distributed systems problem-solving, code development, proof-of-concepts, integrations, production operations, technical evangelism, and translating recurring customer challenges into tooling, documentation, and product improvements.

Lead client-facing data and analytics engagements from strategy through implementation. Design scalable cloud data platforms using Snowflake, Databricks, dbt, and Sigma; implement AI solutions, governance, metadata management, ETL/ELT pipelines, data lakes, warehouses, and self-service analytics. Manage cross-functional technical teams, mentor staff, oversee delivery, support business development, and advise enterprise clients on aligning data solutions with strategic objectives.

Designs and leads scalable enterprise AI and machine learning solutions for clients. Responsibilities include translating business challenges into AI strategies, architecting data pipelines and model-serving systems, selecting cloud platforms and frameworks, guiding implementation teams, establishing AI governance and security standards, optimizing system and model performance, operationalizing LLMs and generative AI, and mentoring engineers.

Lead presales enterprise networking engagements by discovering customer requirements, designing secure and scalable architectures, creating configurations and bills of materials, preparing proposals and RFP responses, and supporting technical sales strategy. Partner with account executives, customers, OEMs, architects, and engineers on solution development, scoping, presentations, and objection handling. Maintain pipeline updates, certifications, CRM administration, and customer-facing technical events.

Designs and delivers enterprise-focused technology solutions aligned with business objectives, IT architecture standards, security, scalability, reliability, and performance requirements. Acts as a bridge between technical and business stakeholders, develops architecture artifacts and roadmaps, evaluates technologies and vendors, documents existing systems, conducts peer reviews, and supports solution development, integration, testing, delivery, and sustainment.

Owns enterprise solution architecture across applications, AI, data, integration, cloud, infrastructure, identity, and security. Develops current- and target-state architectures, capability roadmaps, standards, governance processes, and reusable patterns. Partners with business, engineering, security, data, and delivery teams to guide major initiatives, manage tradeoffs, and ensure conformance. Applies enterprise AI architecture, retrieval-augmented generation, agent workflows, and governed platform integrations to move concepts into production-ready solutions.

Designs and leads end-to-end AI/ML architectures for clients across industries. Advises stakeholders on AI strategy, leads discovery workshops, oversees production delivery, and establishes model lifecycle and AgenticOps practices. The role also supports presales, develops reusable AI offerings, and defines responsible AI governance, architecture standards, and best practices. Collaboration with data scientists, engineers, and developers is central to delivering scalable, secure, cloud-based solutions.

Designs and implements enterprise IT infrastructure solutions aligned with business strategy. Responsibilities include Microsoft technology architecture, Active Directory and Azure administration, systems and network monitoring, security, patching, automation, performance reporting, incident resolution, change management, documentation, escalation support, project coordination, and team mentoring. Participates in on-call rotations and provides technical guidance to stakeholders, vendors, and internal teams.

Designs and governs secure, scalable cloud-native enterprise solutions across AWS and Azure. Leads application modernization, microservices, API, container, serverless, DevSecOps, CI/CD, and AI adoption initiatives. Establishes architecture standards, technology roadmaps, and governance processes; evaluates emerging technologies; partners with cross-functional teams; and mentors technical staff while driving enterprise transformation.

Design and build production AI, data analytics, and cloud solutions for product engineering. Own end-to-end architecture, agentic systems, evaluation standards, data pipelines, AWS platforms, APIs, and user interfaces. Develop full-stack applications, establish technical standards, mentor engineers, manage developers, and partner with engineering teams to move prototypes into adopted production systems. The role requires hands-on Python, SQL, modern front-end, LLM orchestration, RAG, data engineering, cloud, and cost-aware architecture expertise.

Lead solution architecture and automation initiatives, building cloud-native, AI-enabled reference architectures and automation frameworks. Drive buy-vs-build analysis, proofs-of-concept, modernization, and mentoring while collaborating with business and technical stakeholders to deliver scalable, secure PBM solutions.

Owns end-to-end architecture for a multi-vendor government AI and software platform. Advises mission leadership, integrates Kubernetes/OpenShift, cloud, CI/CD, AI, data, security, and identity technologies, and establishes repeatable deployment and operational patterns. The role identifies architectural risks, guides engineering and vendor teams, supports classified environments, incorporates NIST/RMF and ATO requirements, and produces architecture diagrams, decision records, standards, and executive briefings.

Serve as the primary technical advisor for strategic HPC and cloud customers. Design, deploy, optimize, and scale AI/ML and scientific workloads; troubleshoot complex infrastructure challenges; support sales presentations and demos; relay customer feedback to product teams; negotiate solutions; and develop technical documentation and reference architectures.

Leads technical sales and solution strategy for Stripe’s Money Management products, including Capital, Issuing, Financial Accounts, and Payouts. Advises enterprise customers on embedded finance use cases, APIs, compliance, and financial application architectures. Partners with sales, product, engineering, and marketing teams to drive pipeline, influence the product roadmap, develop reusable assets, and support strategic customer opportunities.

Advise enterprise customers and executive stakeholders on business and technical strategies using Stripe’s platform. Develop trusted relationships, align solutions with customer roadmaps, identify and close complex opportunities, expand adoption across markets and business units, and design solutions that support monetization and growth. Conduct customer and industry research, facilitate strategic meetings, and collaborate with sales, product, support, and leadership teams. Approximately 25% travel is required.

Lead technical onboarding and enablement for contact center partners, architecting scalable Zendesk, Amazon Connect, and AWS solutions. Provide co-selling support, technical strategy, solution design, demonstrations, proof-of-concepts, training, documentation, governance, and mentorship. Collaborate with partners, sales, engineering, and vendors to drive successful implementations, security compliance, innovation, and adoption of AI, automation, and omnichannel contact center technologies.

Designs and guides enterprise payment integrations from architecture through go-live. Responsibilities include tracing payment transaction flows, identifying integration points, creating system and sequence diagrams, writing API integration specifications, leading technical reviews, and presenting recommendations to executives and engineering teams. The role also partners with sales, product, and implementation teams while ensuring compliant deployment of payment solutions.