Senior Solutions Engineer (AI Data & Unstructured Data Platforms)

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Job Title Senior Solutions Engineer (AI Data & Unstructured Data Platforms) Location Remote (Hybrid with customers as needed) Time Zone US Time Zones (EST–PST) Role Overview We are seeking a customer-facing Senior Solutions Engineer to own the technical customer journey—from discovery and solution design through hands-on proof-of-value (POV) execution and early production success. This role sits at the intersection of enterprise infrastructure (on-prem, cloud, hybrid), unstructured data at scale, AI readiness, and governance/compliance. You will partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive production adoption. 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. We connect top talent with vetted employers, competitive pay, and real growth opportunities.