Top Solutions Architect Jobs

Lead pre-sales technical engagements to design and optimize scalable cloud lakehouse data platforms (Snowflake/Databricks). Provide architecture reviews, ETL/ELT pipeline design, governance and AI-ready data foundations, support services sales, and translate technical tradeoffs into actionable recommendations for engineering and executive stakeholders.

Defines and maintains the ACWS system architecture, technical vision, architectural runway, solution enablers, non-functional requirements, integration patterns, and technical standards. Guides secure, scalable, interoperable implementation across Agile teams; evaluates emerging technologies; supports application modernization, cloud solutions, data architecture, and stakeholder coordination.

Lead pre-sales security architecture engagements by designing and validating defense-in-depth solutions across hybrid, cloud, application, identity, endpoint, network, and data environments. Conduct security assessments, create remediation roadmaps, integrate security platforms, and support DevSecOps, SOC, detection engineering, incident response, compliance, and risk programs. Collaborate with sales, engineering, clients, and executive stakeholders to communicate technical trade-offs and deliver scalable enterprise security strategies.

Lead enterprise pre-sales architecture engagements for data center modernization, secure networking, WAN, hybrid cloud connectivity, virtualization, and disaster recovery. Translate business objectives into infrastructure strategies, design complex routing, switching, segmentation, and SD-WAN solutions, lead customer workshops, support RFPs, create architecture documentation and bills of materials, and transition designs to delivery teams. The role requires regular customer-site meetings across the West Coast.

Lead pre-sales technical engagements to design scalable, highly available systems using MongoDB. Advise customers on architecture, run demos/proofs of value, support sales strategy and account planning, generate demand, foster customer success, and mentor peers. Collaborate with sales and product teams to align technical solutions with business needs.

Lead end-to-end design, delivery, and lifecycle management of production AI/ML solutions for strategic clients. Translate business requirements into scalable, secure ML architectures, drive deployments, monitoring, governance, and mentor teams while collaborating with stakeholders across sales, engineering, and data science.

Own technical architecture for enterprise and regulated-industry Plane deployments, including self-hosted and air-gapped environments. Lead customer discovery, security reviews, migration planning, technical sales support, deployment documentation, and requirements feedback to engineering. The role requires translating infrastructure, identity, compliance, and security requirements into practical deployment decisions and serving as the technical voice for major customer deals.

Designs, builds, and deploys production-grade Python AI systems, including RAG and agentic workflows, for enterprise clients. Responsibilities include architecture ownership, backend and API development, AWS deployment, system design decisions, client communication, presales support, technical documentation, mentoring, code reviews, testing, and production AI/ML model maintenance. The role requires embedded client delivery, direct stakeholder engagement, and end-to-end ownership from discovery through implementation.

Designs customer-focused technical solutions using MNTN’s advertising platform, supports pre-sales as a product and technical SME, and develops partnerships, integrations, use cases, enablement materials, and launch plans. The role identifies customer and market needs, collaborates with sales, marketing, product, engineering, and business development teams, supports new solution rollouts, and helps drive customer adoption, revenue growth, and long-term success across the AdTech and Connected TV ecosystem.

Provide architectural leadership for Vizient’s sourcing and contracting technology portfolio. Design secure, scalable, resilient enterprise architectures across applications, APIs, integrations, cloud platforms, data, identity, and security. Guide engineering teams, establish architecture standards, evaluate emerging technologies, lead proofs of concept, ensure governance and compliance, and drive the long-term evolution of cloud-native platforms. Collaborate with Product, Engineering, Security, CloudOps, Enterprise Architecture, clients, and implementation partners.

Leads pre-sales technical strategy for large enterprise accounts in high-tech and manufacturing. Partners with account executives and technical teams to drive Databricks evaluation, adoption, and expansion, especially for data, machine learning, and AI use cases. Builds executive relationships, establishes technical champions, leads virtual teams, presents business value, supports data-driven transformation, and mentors colleagues. Requires production programming experience and expertise in big data, data science, and cloud technologies.

Lead design and delivery of cloud-native, integration-first AI solutions. Translate business needs into scalable AI architectures (LLMs, RAG), integrate data platforms and APIs, perform architecture reviews and risk assessments, mentor junior staff, and provide technical oversight across client engagements to ensure secure, maintainable, and impactful deployments.

Serve as a technical customer advocate to drive adoption of the Collate platform. Advise on architecture, governance, lineage, observability, and security; troubleshoot environments; run workshops; produce enablement materials; present business reviews to drive retention, expansion, and measurable outcomes.

Design and implement enterprise-scale technical solutions and integrations. Build logical and physical architectures, CI/CD pipelines, containerized cloud applications, API management, and security (SAML/OIDC). Collaborate with engineering and product teams, perform testing and debugging, define KPIs/KRIs, and drive innovation and risk management across projects.

The AI Solutions Architect will drive AI initiatives, partner with departments for integration, lead tool discovery, establish governance, and advocate for AI adoption across the company.

Own technical credibility in enterprise sales: run technical discovery, deliver problem-focused demos, design and execute POCs, support security/compliance reviews, and build reusable pre-sales assets for litigation AI deployments.

Lead technical vision and enterprise architecture for a federal contact center modernization program: design cloud-native, API-driven, secure solutions; mentor architects and engineers; establish governance, standards, and modernization roadmaps; ensure compliance with federal security, privacy, accessibility, and operational requirements; advise stakeholders and mitigate technical risks.

Embed with enterprise customers to design, build, and deploy production agentic AI workflows. Integrate platform with customer systems, handle security and compliance reviews, drive adoption and expansion, and feed product improvements based on field signal.

The AI Solutions Architect specializes in pre-sales technical solutions for AI platforms, collaborating on architectural designs, conducting customer engagements, and ensuring seamless transitions to delivery teams.

The AI Solutions Architect drives technical pre-sales engagements, designs AI solutions, coordinates POCs, and collaborates with partners to win deals.

The AI Solutions Architect drives pre-sales efforts by designing AI architectures, leading technical discovery sessions, and coordinating proof-of-concept engagements to meet customer requirements.

The role involves designing complex Cybersecurity solutions, advising clients, developing sales strategies, and maintaining client relationships. Requires advanced experience in Cybersecurity design and client engagement.

As a Solutions Architect, you will lead integrations between Brightflag and customer systems, translating requirements into integration designs, managing projects, and driving best practices for integration workstreams.

Serve as a Google Cloud-focused presales solution architect, advising clients and internal teams on GCP architecture, deploying cloud-native apps and AI agents, modeling Google Cloud costs, building demo/POC environments, and helping design managed services offerings while collaborating with client executives and cross-functional teams.

Lead design and implementation of secure, scalable AI solutions (LLMs, RAG) for VA JLV. Define architecture, data flows, integration (FHIR/HL7), model selection, monitoring, and governance; collaborate with DevSecOps, cybersecurity, and clinical SMEs; support ATO and Responsible AI requirements; mentor engineers and present architecture to stakeholders.