Top Solutions Architect Jobs

Designs and delivers cloud and on-premises enterprise solutions aligned with architecture standards and business requirements. Responsibilities include solution design, integration, testing, technical documentation, issue resolution, technology evaluation, and architecture governance. The role collaborates with architecture, development, operations, infrastructure, security, and business teams, presents designs to the Architecture Review Board, and ensures cybersecurity and roadmap compliance. Travel is approximately 10%.

Architects, implements, secures, and supports scalable ArcGIS Enterprise environments across cloud and on-premises infrastructure. Develops architecture diagrams, deployment strategies, integrations, automation, and DevOps practices. Leads performance tuning, monitoring, troubleshooting, QA/QC, and enterprise GIS governance covering hosting, metadata, data access, security, and archiving. Translates business requirements into technical solutions, aligns GIS initiatives with organizational strategy, and mentors project teams and junior staff.

Design and deliver cybersecurity and fraud-detection solutions using AI/ML, data science, Databricks, Python, SQL, and R. Analyze large, disparate datasets, identify threats and process gaps, recommend remediation, and communicate insights to stakeholders. Lead delivery across cybersecurity, analytics, risk management, and product engagements while directing specialized data science, engineering, and business intelligence teams in secure environments.

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.

Work with clients to design and implement integrations, data migrations, and custom deployments for a securities-based lending platform. Define system architecture, integration specs, manage project scope/timelines, coordinate offshore teams, conduct technical discovery and UAT, document systems, and draft feature requests.

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.

Designs, configures, and optimizes SAP IBP Demand, Supply and Response, and Inventory Optimization solutions for high-volume parts planning. Leads requirements analysis, gap resolution, planning model design, integrations with SAP ERP and external systems, performance optimization, roadmap prioritization, and full lifecycle delivery from architecture through deployment and hypercare. Partners with supply chain, parts operations, and IT teams during ERP transformation and parts distribution center enablement.

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.

Develop data-driven solutions for Army customers by analyzing complex data, building predictive analytics, writing algorithms and scripts, applying machine learning and automation, and scaling data products. The role includes mentoring teammates, creating web-based interfaces and visualizations, and translating disparate data into actionable insights for military senior leadership.

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.

Designs and presents Qualys security solutions for federal enterprise customers, supporting technical sales engagements, proofs of concept, architecture workshops, compliance programs, and post-sale deployment health checks. Advises customers on vulnerability, asset, patch, cloud, application, and threat security while partnering with sales, product, marketing, and strategic partners. Authors technical content, enables field teams, and travels to customer locations at least 30% of the time.

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 an infrastructure team managing an on-premises network while developing a replacement technology stack. Set technical direction, achieve and maintain system accreditation, manage hardware budgets, and apply expertise in cloud infrastructure, DevOps, and Kubernetes. The role reports to the program manager and requires an active TS/SCI with polygraph clearance.

Drive technical pre-sales for hx by designing integration architectures, running discovery workshops, leading technical evaluations (RFP/RFI), building POVs/POCs, and partnering with Sales and Product Engineering to secure and scale enterprise customers.

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.

Drive net-new enterprise revenue across North America by prospecting target accounts, managing complex full-cycle sales, engaging technical and executive stakeholders, conducting discovery and demonstrations, coordinating technical validation and POCs, navigating procurement, forecasting pipeline, and transitioning closed customers to Account Management and Customer Success.

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.

Designs and leads enterprise data architecture centered on Databricks and Azure. The role translates business requirements into scalable, secure solutions supporting analytics, AI, machine learning, and reporting. Responsibilities include architecture reviews, technical standards, documentation, mentorship, CI/CD and infrastructure automation, security and compliance oversight, environment monitoring, cost optimization, and continuous improvement across a hybrid data ecosystem.

Leads architecture and technical direction for national security enterprise applications. Designs and deploys scalable AWS cloud and AI solutions, develops software, manages CI/CD pipelines, and guides DevSecOps teams using Agile methodologies. Responsibilities include systems integration, technical analysis, infrastructure as code, vulnerability mitigation, troubleshooting, and support for ATO and security accreditation processes. The role collaborates with customers, senior stakeholders, program managers, and cross-functional engineering teams while mentoring technical personnel.