Top Remote Solutions Architect Jobs

Designs and publishes networking architectures for large-scale GPU clusters and AI infrastructure. Responsibilities include InfiniBand and RoCEv2 fabrics, multi-tenant isolation, Linux and Kubernetes networking, KubeVirt, hybrid connectivity, research, automation, benchmarking, proofs of concept, customer engagements, partner collaboration, technical writing, and conference presentations.

Leads technical strategy for strategic enterprise sales, advising CIOs, CTOs, and enterprise architects on data, AI, MarTech, commerce, cloud, and personalization architectures. Maps customer technology environments, designs integrations, facilitates architecture workshops, supports RFPs and technical evaluations, connects technical decisions to business outcomes, and partners with sales, product, engineering, and customer success teams.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.

Leads technical strategy for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Partners with account executives, builds executive relationships and technical champions, presents solution strategies, coordinates virtual teams, supports ML and AI use cases, and mentors other team members. Requires pre-sales experience, enterprise account leadership, cloud and data expertise, and production programming experience.

Develop advanced GUI, trigger scripts, REST API integrations, custom Python and JavaScript tools, data visualizations, and automated solutions for customers. Analyze network topologies and application stacks, acquire and analyze network data, profile industry applications, conduct root cause analysis, create technical collateral, advise customers, and deliver hands-on learning sessions.

Designs and builds secure enterprise AI architecture, integrations, agents, retrieval pipelines, and workflows. Owns AI technical delivery, evaluates platforms, establishes reusable architecture standards, and integrates AI with enterprise systems. Ensures deployments protect CUI and comply with NIST SP 800-171, CMMC, DFARS, and organizational security requirements. Partners with governance, security, and compliance teams while monitoring solution performance, cost, and reliability.

Designs and configures Oracle Transportation Management and Global Trade Management solutions for clients. Responsibilities include business process design, solution architecture, project delivery, functional audits, testing, documentation, end-user training, issue mitigation, and transportation planning improvements. The role requires collaboration with customer managers and project teams, independent solution implementation, and occasional travel of up to 25%.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Owns technical strategy and customer acquisition for communications service provider opportunities. Leads discovery, design sessions, solution architecture, demonstrations, proof-of-value engagements, workload testing, sizing, production readiness, and technical close. Partners with account executives, delivery, engineering, product, and strategic partners to design high-volume analytics and AI solutions across hybrid cloud and on-premises environments. Requires deep CSP, telecommunications, data warehousing, telemetry, cloud, and AI expertise, with travel up to 50%.

Designs and oversees Azure Government cloud infrastructure supporting Joint Staff J7 simulation, training, and modeling systems. Establishes cloud foundations, landing zones, hub-and-spoke networks, Infrastructure as Code standards, and migration architectures using Terraform, Bicep, ARM templates, AKS, and virtualized services. Applies Zero Trust principles across cloud environments and advises government engineering and architecture stakeholders. Requires extensive Azure and DoD cloud experience, active Secret clearance, U.S. citizenship, and an IAT II or III certification.

Designs and evolves scalable, secure distributed systems and cloud-native microservices architectures. Responsibilities include event-driven architecture with Kafka, GraphQL and mobile/backend integration, Docker and Kubernetes deployment, AWS infrastructure, Infrastructure as Code, security, observability, HIPAA compliance, architecture reviews, threat modeling, documentation, prototyping, and technical enablement. The role partners with engineering, product, and business stakeholders to guide platform strategy and architectural standards.

Design and deploy production ML/AI architectures on the Databricks platform, lead Generative AI (LLM, RAG, agent) implementations, optimize and scale MLOps pipelines, provide technical pre-sales support, and translate customer feedback into product improvements while mentoring peers and meeting delivery milestones.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

Leads AI presales strategy, customer advisory, technical solution architecture, and team development. Translates business needs into AI use cases, prototypes, business cases, roadmaps, and repeatable offerings. Partners with sales, engineering, consultants, and technology vendors to support complex pursuits, executive briefings, demonstrations, proofs of concept, and AI business growth. Promotes responsible AI governance, tracks pipeline performance, develops thought leadership, and remains hands-on in high-impact customer engagements.

Design and lead Salesforce solutions spanning Sales Cloud and Marketing Cloud Account Engagement (Pardot). Scope projects, architect prospect-to-lead/contact sync, drive connector and data governance best practices, mentor consultants, and manage campaign automation, segmentation, and deliverability considerations.

Leads enterprise quality engineering and DevOps architecture, including Azure DevOps pipelines, CI/CD quality gates, test automation, governance, and AI-assisted testing. Defines SDLC and QA standards, integrates UI, API, performance, and data validation testing, modernizes manual QA practices, and partners with engineering and platform teams on shift-left and shift-right quality. Mentors QA and DevOps engineers, evaluates tools, improves deployment reliability and quality metrics, and establishes quality controls for AI agents and bots.

Leads technical solution architecture and proposal development for Federal Government and DoD customers, particularly federal health agencies. Analyzes solicitations, designs technical, management, transition, staffing, and cost approaches, and develops proposal artifacts, diagrams, and written sections. Partners with capture, program, pricing, leadership, and subject matter experts; engages customers; evaluates technologies and requirements; leads review stages; and manages solution teams. Requires expertise in federal IT, legacy systems, and cloud, cybersecurity, software, or enterprise IT.

Leads technical solution development for government captures and proposals across defense, space, and intelligence programs. Responsibilities include analyzing requirements, developing system architectures and implementation roadmaps, authoring technical volumes and white papers, shaping customer requirements, integrating emerging technologies, supporting cost estimates, and collaborating with capture, business development, and subject matter experts. The role may also involve prototyping capabilities and engaging government stakeholders.

Guide customers through technical implementations, adoption, and scaling of Mesh APIs and SDKs. Design post-sales solutions, advise customer engineering teams, troubleshoot integrations, create implementation playbooks, optimize tooling and workflows, and lead technical discussions with customers and executives. The role requires crypto and fintech knowledge, cross-functional collaboration, and occasional travel.

Lead enterprise and solution architecture for life insurance and annuity client programs. Advise executives and technical stakeholders on integration strategies, modernization roadmaps, data flows, system dependencies, and architectural tradeoffs. Oversee integration designs connecting SaaS products with policy administration, CRM, distribution, underwriting, and enterprise data systems. Provide technical discovery, delivery oversight, risk management, and architectural governance across large transformation programs.

Lead technical pre-sales engagements for DevOps and platform engineering prospects. Conduct discovery, design and build custom AI agents, deliver demos and proofs of concept, assess infrastructure, develop ROI and migration plans, handle technical objections, and coordinate handoffs to onboarding and engineering teams. The role requires strong cloud, Kubernetes, Terraform, CI/CD, AI tooling, security, compliance, scripting, presentation, and solution architecture expertise.

Leads architecture for Experian’s AI-native developer experience platform. Defines agentic software delivery, developer portals, governed AI marketplaces, AI governance, knowledge grounding, and secure software supply chain standards. Builds reference implementations and connects CI/CD, Backstage, cloud landing zones, AI tooling, and security controls. Partners across engineering, security, and business units to establish technical direction, resolve cross-functional architecture decisions, and promote scalable platform adoption.

Designs and leads enterprise data solutions supporting analytics, reporting, and AI. Serves as a design authority across teams, defining data architectures, models, integration patterns, standards, roadmaps, and secure scalable platforms. Translates business objectives into technical designs, influences stakeholders, guides build-versus-buy decisions, mentors engineers and architects, and ensures solutions meet governance, compliance, reliability, and operational requirements.

Leads architecture, integration strategy, governance, and technical roadmaps for the firm’s financial and administrative application ecosystem. Defines standards and reusable integration patterns, evaluates modernization and cloud opportunities, guides reporting and analytics architecture, reviews solution designs, mentors technical teams, and advises stakeholders and vendors. Supports platforms including Elite 3E, Intapp, UKG, Power BI, SSRS, and SQL Server while ensuring solutions are scalable, secure, reliable, and aligned with business objectives.