Senior Customer Solutions Architect (AI Readiness & Enterprise Data)

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.Job Title Senior Customer Solutions Architect (AI Readiness & Enterprise Data)LocationRemote (Hybrid with customers as needed)Time ZoneUS Time Zones (EST–PST)Role Overview We are hiring a Senior Customer Solutions Architect who thrives in technical pre-sales and hands-on deployment environments. You will guide enterprise customers through discovery, architecture design, and proof-of-value (POV) execution—particularly where unstructured data, security, compliance, and AI readiness intersect. This role partners closely with Sales, Product, Engineering, and customer stakeholders to ensure solutions are technically sound, deployable, and deliver measurable value early in the lifecycle.Key ResponsibilitiesPartner with Sales to lead technical discovery and define clear POV success criteriaAssess enterprise environments (on-prem, cloud, hybrid), including storage, file systems, IAM, security, and compliance requirementsDesign solution architectures supporting unstructured data scanning, classification, and AI-ready data preparationDeliver tailored demos and technical presentations to architects, security teams, and business stakeholdersLead end-to-end POV execution: installation, configuration, integrations, and outcome validationTroubleshoot deployment and performance issues while validating measurable value (accuracy, throughput, business impact)Support transition to production through documentation, internal handoff, and identification of expansion opportunitiesRequired Qualifications5+ years in a customer-facing architecture or solutions role (Solutions Architect, Solutions Engineer, Sales Engineer, Customer-Facing Systems Engineer) within Tech, SaaS, or AI environmentsStrong understanding of enterprise infrastructure across hybrid/on-prem and cloud environments, including data movement and integration patternsPractical knowledge of security and IAM concepts, access models, and governance/compliance considerationsProven ability to lead technical discovery, communicate architectural trade-offs, and present to mixed technical and executive audiencesComfortable working hands-on within customer environments to implement and validate POV deploymentsAI literacy, including understanding AI readiness requirements and how data quality and governance impact AI outcomesNon-negotiable: Prior remote work experience and fluency with remote collaboration tools/platforms (Slack, Zoom, Google Workspace, Asana, or similar). Candidates must have ideally worked with US or UK-based companies—applications without this experience will not be considered.Preferred QualificationsExperience with unstructured data platforms, storage systems, or data governance toolingBackground supporting regulated industries and compliance-driven deploymentsScripting or automation experience (Python, PowerShell) and/or Infrastructure as Code (Terraform or similar)Tools & TechnologyCloud Platforms: AWS, Azure, GCPEnterprise Infrastructure: On-prem storage, file systems, hybrid architectures, identity modelsSecurity & Governance: IAM concepts, access controls, compliance frameworksAutomation / IaC: Python, PowerShell, Terraform (nice to have)Collaboration: Slack, Zoom, Google Workspace, Asana (or similar)Please NOTEIt is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.We connect top talent with vetted employers, competitive pay, and real growth opportunities.Originally posted on Himalayas