959 Solutions Architect jobs available for remote work from home. Apply for positions such as CONTRACTOR - Solutions Architect, Solutions Architect AFRL - Rome, NY, Cloud Data Solutions Architect and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Solutions Architect is responsible for the overall design of applications and mapping client technical and business requirements. They will work with the implementation team to deliver complete solutions, including software configuration, development, and system integration.
The Solutions Architect will design and implement data solutions, including ontology design and schema development, to align with business requirements. They will collaborate with cross-functional teams to troubleshoot technical challenges and support cloud-based implementations on platforms like AWS and Azure.
The Cloud Data Solutions Architect designs and supports strategic technology solutions to drive operational efficiency and business growth. This role collaborates with cross-functional teams and stakeholders to identify business requirements and ensure successful implementation of data-driven solutions.
Lead technical implementations and drive the adoption of Chainguard images while partnering with account teams to ensure customer success. Act as a primary technical point of contact to gather customer requirements and collaborate with product and engineering teams to improve the onboarding experience.
Design quantum-safe network architectures and migration paths for global enterprises and government agencies. Lead technical discovery workshops, manage complex sales pursuits, and translate field insights into reusable reference architectures and product requirements.
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The architect will design and lead the delivery of scalable, secure, and high-performance data solutions across cloud-native environments. They will also collaborate with product and delivery teams to translate business needs into sustainable data architectures while providing technical leadership.
You will act as a trusted advisor to SMB customers, guiding them through technical evaluations and digital transformation using the GitLab DevSecOps platform. You will collaborate with sales and cross-functional teams to drive platform adoption and serve as the voice of the customer to internal product and engineering teams.
The AI Infrastructure Solutions Architect designs end-to-end, high-performance AI and HPC infrastructure solutions for customers. This role involves technical presales, infrastructure sizing, and close collaboration with internal teams and OEM partners to ensure seamless deployment.
You will define the technical architecture and standards for NetSuite deployments across a network of over 90 companies. Additionally, you will collaborate with finance teams and implementation partners to design scalable solutions and troubleshoot complex technical issues.
The Delivery Solutions Architect will lead post-technical win strategies to accelerate platform adoption and ensure customer success for complex accounts. They will act as the primary technical lead, coordinating internal teams and resources to drive onboarding, production go-live, and healthy workload consumption.
You will design scalable applications and infrastructure while guiding customers on architecture patterns and optimization strategies for MongoDB. Additionally, you will partner with the sales team to drive account success through technical discovery, demos, and strategic account planning.
The AI Solutions Architect will lead quality standards and drive the transition from reactive QA to a proactive, AI-powered development lifecycle. They will partner with engineering leaders to foster a culture of continuous improvement and define validation standards for AI-driven applications.
You will serve as the primary technical voice for Databricks, defining and directing technical strategy for large retail and CPG accounts. You will lead customers through their data transformation journey while building a movement of technical champions within their organizations.
The Solutions Architect will design system architectures and AI-supported SDLC processes while acting as a technical consultant for clients. They will also lead the adoption of AI tools within engineering teams to improve delivery efficiency, security, and scalability.
The role involves partnering with Services leaders to identify high-impact AI opportunities and translating them into clear program roadmaps. You will build and scale AI-powered prototypes and workflows while enabling teams to effectively adopt AI tools and best practices.
The Inside Solutions Architect drives data center networking and AI infrastructure sales opportunities through a virtual-first engagement model. They act as a subject matter expert, providing architectural guidance and technical positioning to account teams and customers.
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Design and implement advanced AI-driven solutions within the ServiceNow platform to automate IT operations and service desk workflows. Lead the architecture of enterprise-level AI integrations, ensuring robust governance, risk management, and compliance standards.
Lead technical pre-sales, customer integration, and implementation for Gracenote metadata and AI products. Act as a technical subject matter expert to influence product roadmaps and support customer success through workshops and PoCs.
You will lead the technical sales cycle by conducting discovery processes and delivering customized demos to European customers. You will also partner with sales teams to shape opportunities and influence product direction based on field feedback.
Provide technical leadership to guide strategic customers in designing and implementing big data projects from architecture to deployment. Identify and drive new initiatives that help customers turn their data into actionable business value.
The Partner Solutions Architect will conduct technical training and enablement for partners while collaborating to develop customer-focused networking and security solutions. They will also evangelize joint solutions at industry events and provide competitive intelligence to support partner success.
The Senior Solutions Architect leads pre-sales efforts by designing complex Google Cloud Platform solutions, including data, AI, and infrastructure architectures. They act as a strategic bridge between business and technology, managing concurrent opportunities and ensuring successful project scoping and handoff.
The Principal Solutions Architect leads enterprise architecture activities by translating business strategies into scalable, secure technology blueprints. They partner with cross-functional teams to define architecture roadmaps, drive modernization initiatives, and ensure alignment with enterprise standards.
The Solutions Architect will design and scale innovative network security offerings, including NGFW, SASE, and SD-WAN technologies. They will collaborate with product, engineering, and GTM teams to create repeatable service blueprints and drive offer lifecycle management.
The role involves driving strategic technical integrations and co-innovation between Palo Alto Networks and Google Cloud Platform. You will also lead technical enablement, create architectural assets, and support high-value sales pipelines through executive engagement.
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You will define the industry-standard methodology for inbound AI deployments in healthcare by creating repeatable frameworks and playbooks. You will partner with product and engineering teams to translate clinical workflows into scalable configuration requirements.
The Solutions Architect will lead the evaluation, implementation, and adoption of dbt Cloud for enterprise customers while managing the full customer lifecycle. They will collaborate with sales, engineering, and product teams to design data pipelines and enable partners to implement dbt solutions.
The Applied AI Solutions Architect will design and deliver production-ready AI and machine learning solutions while partnering with clients to solve complex business challenges. This role involves leading technical workstreams, guiding implementation, and bridging the gap between business requirements and modern cloud-based AI architectures.
You will act as a trusted advisor to AI-focused customers, designing scalable solutions and resolving complex technical challenges. Additionally, you will collaborate with engineering teams to relay customer feedback and produce technical documentation such as whitepapers and manuals.
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