Senior Customer Solutions Architect (AI Readiness & Enterprise Data)

South Africa - Cape Town, Chile - Santiago, Argentina - Buenos Aires, Mexico - Mexico City, Panama - Panama City, Peru - Lima, Cuba - Havana, Dominican Republic - Santo Domingo, Haiti - Port-au-Prince, Nicaragua - Managua, South Africa - JohannesburgRemotecontractsenior

OtherCustomer Solutions Architect

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Quick Summary

Overview

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Job TitleSenior Customer Solutions Architect (AI Readiness & Enterprise Data) LocationRemote (Hybrid with customers as needed) Time ZoneUS Time Zones (EST–PST) Role OverviewWe are hiring a…

Key Responsibilities

Partner with Sales to lead technical discovery and define clear POV success criteria Assess enterprise environments (on-prem, cloud, hybrid), including storage, file systems, IAM, security, and compliance requirements Design solution architectures…

Requirements Summary

5+ years in a customer-facing architecture or solutions role (Solutions Architect, Solutions Engineer, Sales Engineer, Customer-Facing Systems Engineer) within Tech, SaaS, or AI environments Strong understanding of enterprise infrastructure across…

Technical Tools

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Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.

Responsibilities

~1 min read

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Partner with Sales to lead technical discovery and define clear POV success criteria
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Assess enterprise environments (on-prem, cloud, hybrid), including storage, file systems, IAM, security, and compliance requirements
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Design solution architectures supporting unstructured data scanning, classification, and AI-ready data preparation
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Deliver tailored demos and technical presentations to architects, security teams, and business stakeholders
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Lead end-to-end POV execution: installation, configuration, integrations, and outcome validation
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Troubleshoot deployment and performance issues while validating measurable value (accuracy, throughput, business impact)
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Support transition to production through documentation, internal handoff, and identification of expansion opportunities

Requirements

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5+ years in a customer-facing architecture or solutions role (Solutions Architect, Solutions Engineer, Sales Engineer, Customer-Facing Systems Engineer) within Tech, SaaS, or AI environments
Strong understanding of enterprise infrastructure across hybrid/on-prem and cloud environments, including data movement and integration patterns
Practical knowledge of security and IAM concepts, access models, and governance/compliance considerations
Proven ability to lead technical discovery, communicate architectural trade-offs, and present to mixed technical and executive audiences
Comfortable working hands-on within customer environments to implement and validate POV deployments
AI literacy, including understanding AI readiness requirements and how data quality and governance impact AI outcomes

Requirements

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Experience with unstructured data platforms, storage systems, or data governance tooling
Background supporting regulated industries and compliance-driven deployments
Scripting or automation experience (Python, PowerShell) and/or Infrastructure as Code (Terraform or similar)

Nice to Have

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It 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.

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