Top Remote Solutions Architect Jobs

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.

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.

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.

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.

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.

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.

Lead solution architecture and modernization across Property & Casualty insurance platforms. Define target-state architectures, roadmaps, integration strategies, and cloud-native capabilities supporting policy administration, underwriting, claims, billing, distribution, and customer engagement. Partner with business and technology leaders, guide architecture reviews, modernize legacy systems, promote APIs, microservices, event-driven patterns, and identify AI and automation opportunities. Mentor technical teams and influence strategic technology decisions across multiple initiatives.

Leads global Advanced Services strategy for Kubernetes, cloud-native storage, Portworx, and modern virtualization. Designs and validates customer solution-service MVPs, converts successful pilots into scalable professional services offerings, and serves as the technical authority for container platforms, persistent storage, disaster recovery, and workload migration. Partners with Product, Engineering, Sales, and Delivery teams to support enterprise infrastructure modernization and enable global delivery.

Own end-to-end architecture for large-scale AI and distributed systems from concept through production. Design RAG and Generative AI solutions, establish architecture standards, evaluate technologies, and guide engineering teams. Partner with business and technical leaders to translate requirements into scalable, secure, resilient platforms. Address AI lifecycle management, model selection, evaluation, monitoring, latency, cost, privacy, and guardrails. Develop architecture documentation, prototypes, and production solutions using cloud-native, data, API, and DevOps technologies.

Designs scalable, secure infrastructure solutions across cloud, hybrid, on-premises, and bare-metal environments. Leads technical discovery, architecture design, presentations, demonstrations, RFP responses, estimates, TCO modeling, and proposal development throughout the pre-sales process. Partners with Sales, Engineering, Product, vendors, and customers to ensure technically sound solutions, provide product feedback, and support successful customer outcomes.

Designs, estimates, positions, and oversees end-to-end Oracle Cloud technical solutions for client organizations. Partners with sales and delivery teams to gather requirements, develop architectures, proposals, estimates, statements of work, and implementation strategies. Leads technical design sessions, presents solutions, advises clients on ERP direction, supports presales handoffs and deployments, and contributes to training, methodology development, and Oracle Cloud enablement.

Leads Azure solution architecture engagements from discovery through implementation. Designs landing zones, governance, identity, infrastructure modernization, hybrid migrations, and Infrastructure as Code. Partners with sales on scoping, estimates, proposals, and executive presentations while advising client leadership. Mentors technical teams, develops reusable delivery accelerators, and supports Azure practice growth. Requires deep hands-on Azure expertise, consulting experience, Azure certification, and willingness to travel up to 25%.

Leads managers and technical professionals delivering complex, data-intensive solutions. Provides hands-on technical leadership through T-SQL review, SQL Server architecture, query tuning, database performance optimization, troubleshooting, and solution design. Manages large projects, changing priorities, client relationships, and stakeholder communication while translating business requirements into scalable technical solutions for extremely large datasets.

Own technical relationships with enterprise accounts from onboarding through implementation, adoption, troubleshooting, renewals, and expansion. Lead integrations, diagnose data pipeline and connectivity issues, communicate effectively with technical and executive stakeholders, identify risks early, and coordinate with engineering, support, customer success, and sales. Mentor other solutions architects while maintaining customer trust and delivery ownership.

Partners with enterprise Account Executives and sales leaders to qualify and close complex travel technology deals. Demonstrates Navan’s platform, presents value propositions to travel managers, conducts strategy sessions, scopes solutions, runs proof-of-concepts and workshops, produces business value assessments, and supports pipeline progression. The role also enables Account Executives, provides competitive insights, and shares feedback with product and operations teams while contributing to sales quota attainment.

Leads technical pre-sales strategy for web performance products, designing cloud and edge solutions for complex customer requirements. Acts as a technical escalation point, supports proofs of concept, provides web performance subject-matter expertise, and influences product roadmaps. Builds customer relationships through consultative selling and presents technical and business concepts to diverse audiences.

Lead design and delivery of enterprise generative and agentic AI systems on AWS. Architect scalable, secure Bedrock- and SageMaker-based platforms, validate via Python prototypes, enforce AWS Well-Architected and security best practices, mentor delivery teams, and drive business-aligned production deployments and reusable accelerators.

Lead enterprise non-human identity and IAM architecture engagements, including NHI discovery, lifecycle architecture, governance, integrations, security diagrams, platform evaluations, and SailPoint implementations. Lead design sessions, proofs of concept, architecture reviews, client communications, roadmap development, and knowledge transfer. Apply expertise across workforce, customer, and non-human identities while addressing machine identities, service accounts, API credentials, workloads, bots, and AI agents.

Supports Account Executives as a pre-sales technical resource for SMB opportunities. The role gathers prospect requirements, designs solutions and integrations, delivers tailored product demonstrations, answers technical implementation questions, documents solutions, and escalates complex needs. It serves as a product expert connecting business requirements with the platform’s capabilities and helps position prospects for successful onboarding. Candidates need foundational API, JavaScript, and marketing technology knowledge, strong communication, and 1–3 years of experience in a tech-focused SaaS or digital marketing role.

Configure and architect SAP MM, SCM, Logistics Execution, Source to Pay, and S/4HANA solutions. The role integrates SAP with warehouse, supply chain, and non-SAP systems using IDocs, EDI, APIs, and file transfers. Responsibilities include gathering requirements, creating functional specifications, supporting implementations, testing, deployment, training, project estimation, and system demonstrations. The analyst collaborates with SAP SD, FI, EWM, TMS, business, and technology teams.

Architects cloud, AI, and cybersecurity solutions with Global Systems Integrators, developing joint offerings, reference architectures, enablement programs, and technical thought leadership. Advises GSI executives and practice leaders on multi-cloud security, CNAPP, DSPM, AI-SPM, runtime protection, and SecOps integrations. Translates ecosystem requirements into product feedback and partners with R&D to scale Wiz deployments across enterprise environments.

Designs, builds, tests, and deploys technology solutions with Agile teams. Develops conceptual, logical, and physical architectures aligned with enterprise standards; evaluates solution options, technology trends, risks, and compliance; supports governance and architecture problem resolution; and collaborates with stakeholders, subject matter experts, and other architects. Requires software or service engineering experience, multiple programming languages, application integration, architecture principles, and technical problem-solving skills.

Lead enterprise AI transformation as a strategic advisor and architect: define AI strategy, design scalable Agentic AI and orchestration solutions, integrate LLMs and enterprise systems, guide customers from experimentation to production, ensure governance and responsible AI, drive KPI-based value realization and continuous optimization across large organizations.