Top Remote Solutions Architect Jobs in Denver & Boulder, CO

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.

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.

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.

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.

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.

The Solutions Architect, FPGA will assess client requirements, architect FPGA-based solutions, estimate project work, identify risks and mitigations, and develop technical proposal content. The role involves system-level design, client presentations, solution partitioning, FPGA architecture, and occasional project execution. Candidates will collaborate across hardware, embedded software, verification, and other engineering teams while supporting product development and research initiatives.

Architects high-complexity electronic system solutions for clients, translating requirements into system architectures, work plans, estimates, technical proposals, and risk mitigation strategies. The role partitions systems across hardware, FPGA, embedded software, and mechanical or thermal domains; defines interfaces and performance budgets; supports client presentations and solution discussions; and contributes to project delivery, product development, and R&D investment decisions.

Develop client requirements, architect software solutions, estimate project work, identify risks and mitigation strategies, and prepare technical proposal content. The role involves presenting solution approaches, partitioning programs, collaborating across hardware and embedded engineering teams, supporting product and R&D opportunities, and undertaking project work. Candidates should have substantial embedded software design experience, system-level architecture expertise, FPGA and hardware knowledge, strong communication skills, and willingness to travel within North America.

Lead client implementations and integrations for fraud and compliance products. Translate technical and business requirements into scalable solutions, manage onboarding and implementation projects, own API and SDK documentation, analyze SQL and JSON payloads, mitigate delivery risks, support clients, and provide product feedback to internal teams.

Leads the architecture, development, deployment, and optimization of production-ready AI solutions combining graph databases, knowledge graphs, and LLMs. Acts as a trusted advisor to strategic customers, translating enterprise requirements into scalable Graph+GenAI applications. Responsibilities include stakeholder engagement, solution engineering, cloud deployment, data pipeline design, technical enablement, thought leadership, mentoring, and collaboration with product and marketing teams.

Lead end-to-end marketing solution architecture for a Salesforce program, including discovery, requirements, journeys, segmentation, consent, data modeling, integrations, testing, and client sign-off. Partner with technical leads across Salesforce Core, Marketing Cloud, Data 360, Agentforce, and enterprise data platforms. Use AI tools to draft and validate requirements and designs, prototype solutions, and review generated work for accuracy. Explain complex solutions to technical and non-technical stakeholders while guiding implementation and change decisions.

Serve as a technical liaison across Professional Services, Product, and Development teams. Lead enterprise client discovery engagements, design integrated workflow architectures, develop digital strategies, resolve architectural escalations, and improve delivery processes. The role requires expertise with Trimble App Xchange and construction-industry consulting or product/project management, along with client relationship management, requirements gathering, and multi-project engagement leadership.

Develops technical partnerships with consulting firms, systems integrators, and global systems integrators. Builds repeatable Stripe solutions, supports strategic presales, leads technical enablement and solution deep dives, engages executive and technical stakeholders, creates implementation content and demonstrations, and communicates partner feedback and business outcomes internally. The role combines solutions architecture, technical consulting, partner development, enterprise integration guidance, and joint go-to-market execution.

Designs, builds, and maintains Azure-focused CI/CD pipelines and Terraform-managed infrastructure for client environments, with AWS support on cross-cloud engagements. Advises on infrastructure security, containerization, Kubernetes deployments, reliability, and troubleshooting across application layers. The role also mentors engineers, documents reusable DevOps patterns, presents technical solutions to stakeholders, and helps establish repeatable architectures across client engagements.

Designs and delivers Salesforce Sales Cloud, Agentforce, and Claude solutions through customer discovery, readiness assessment, configuration, validation, go-live, and optimization. Leads workshops, maps business processes to AI workflows, troubleshoots integration and data issues, manages client relationships, supports adoption, and mentors consulting teammates. Engagements run as fast-paced 12-week sprints with flexible scope and direct customer ownership.

Own strategic enterprise security engagements as the CTO Office representative, solving complex deployment and customer issues, influencing the product roadmap, building technical infrastructure and tooling, and producing technical content. The role requires deep security operations expertise, cloud architecture knowledge, hands-on coding, AI-assisted development, enterprise customer engagement experience, and frequent travel between US customers, industry events, and Tel Aviv.

Develop client AI/ML solution architectures, assess technical feasibility, define requirements, estimate work, identify risks, and prepare proposal content. Design deployable inference solutions across FPGA, adaptive SoC, GPU, and AI accelerator targets while evaluating latency, throughput, power, memory, data pipelines, and production requirements. Present solutions, support business development, contribute to product and R&D initiatives, and undertake project work. Travel within North America for up to six weeks annually.

Partner with sales teams to deliver technical presentations, customized demos, solution architectures, and proofs of concept for PhoenixAI’s Agentic Database. Guide prospects through evaluations, troubleshoot technical challenges, document outcomes, address objections, and support technical wins. Collaborate with product and engineering on customer insights, while contributing to webinars, conferences, user groups, and technical thought leadership.

Designs customized legal service and technology solutions for enterprise clients, managing complex implementations from concept through transition. Advises clients on data integration, case management systems, APIs, and third-party legal technology. Collaborates with sales, product, engineering, operations, and client service teams to drive adoption and revenue. Requires expertise in legal service regulations, two-sided marketplace platforms, technical integrations, advanced problem-solving, and project management for multi-party implementations.

Lead the architecture and delivery of AI/ML initiatives supporting U.S. Air Force and Army predictive logistics and condition-based maintenance programs. Coordinate engineering teams, translate mission needs into technical solutions, guide tradeoff decisions, mentor technical leaders, and ensure AI/ML systems improve fleet maintenance, aircraft availability, and military readiness. The role requires Databricks expertise, technical leadership, stakeholder communication, and an active Secret clearance.