Senior Customer Solutions Architect (AI Readiness & Enterprise Data)

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Job Title
Senior Customer Solutions Architect (AI Readiness & Enterprise Data)

Location

Remote (Hybrid with customers as needed)

Time Zone

US 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 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 supporting unstructured data scanning, classification, and AI-ready data preparation

• Deliver tailored demos and technical presentations to architects, security teams, and business stakeholders

• Lead end-to-end POV execution: installation, configuration, integrations, and outcome validation

• Troubleshoot deployment and performance issues while validating measurable value (accuracy, throughput, business impact)

• Support transition to production through documentation, internal handoff, and identification of expansion opportunities

Required Qualifications

• 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

• Non-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 Qualifications

• 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)

Tools & Technology

• Cloud Platforms: AWS, Azure, GCP

• Enterprise Infrastructure: On-prem storage, file systems, hybrid architectures, identity models

• Security & Governance: IAM concepts, access controls, compliance frameworks

• Automation / IaC: Python, PowerShell, Terraform (nice to have)

• Collaboration: Slack, Zoom, Google Workspace, Asana (or similar)

Please NOTE

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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Originally posted on Himalayas