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Job Title
Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms
Location
Remote (Hybrid with customers as needed)
Time Zone
US Time Zones (EST–PST)
Role Overview
We are seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale unstructured data transformations. This role owns the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion. You will operate within complex enterprise environments, ensuring performance, governance, and measurable ROI.
Key Responsibilities
Translate customer AI, compliance, and data governance goals into scalable technical architectures
Design phased deployment strategies across on-prem and cloud ecosystems
Execute and manage proof-of-value engagements with defined success metrics
Lead technical workshops and stakeholder alignment sessions
Optimize system performance, validate throughput, and ensure production readiness
Develop technical documentation and best practices for enterprise rollout
Provide structured customer insights to influence product roadmap decisions
Required Qualifications
Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors
Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)
Strong grounding in security architecture, IAM, and governance frameworks
Experience working with large-scale unstructured data and compliance-sensitive environments
Ability to present technical and business value clearly to C-level stakeholders
Practical understanding of AI data pipelines, readiness assessments, and governance controls
Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Preferred Qualifications
Experience in highly regulated sectors (healthcare, financial services, insurance)
Background in automation, scripting, or Infrastructure as Code
Familiarity with metadata analysis, data classification, or enterprise scanning technologies
Tools & Technology
AWS, Azure, GCP
Enterprise storage and hybrid systems
Identity and governance frameworks
Python, PowerShell, Terraform
Slack, Zoom, Google Workspace, Asana
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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