Original listing text, shown exactly as published by the company.
Key Responsibilities
- Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures
- Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders
- Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies
- Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement
- Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact
- Drive transition from POV to production through documentation, knowledge transfer, and expansion planning
- Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams
Required Qualifications
- Experience in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environments
- Strong experience with enterprise infrastructure across on-prem and cloud/hybrid environments (AWS, Azure, GCP)
- Solid foundation in networking and security fundamentals, including routing, firewalls, access controls, and IAM concepts
- Experience working with unstructured data environments (file systems, storage platforms, access models, governance considerations)
- Ability to communicate complex technical concepts clearly to both technical teams and executive-level stakeholders
- Working knowledge of AI concepts and practical familiarity with AI workflows, data preparation, and governance considerations
- 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 in regulated or compliance-driven industries (healthcare, financial services, insurance)
- Exposure to scripting or automation (Python, PowerShell) and/or Infrastructure as Code (Terraform or similar)
- Familiarity with data classification, metadata/content-based analysis, and large-scale scanning or analytics workflows
Tools & Technology
- Cloud: AWS, Azure, GCP
- Enterprise Infrastructure: On-prem storage systems, file servers, hybrid architectures
- Security & IAM: Access controls, identity models, governance frameworks
- Automation: Python, PowerShell, Terraform
- 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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