Senior Solutions Engineer (AI Data & Unstructured Data Platforms)

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.

What You Will Do

Lead technical discovery with enterprise customers; deliver live demos, technical deep dives, and executive-level presentations; design and document deployment architectures; own end-to-end proof-of-value engagements; troubleshoot deployment and performance issues.

Why It Might Be a Fit

You will partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive production adoption. You will act as the technical voice of the customer, providing structured feedback to Product and Engineering teams.

Requirements

• 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
• Prior remote work experience and fluency with remote collaboration tools/platforms (Slack, Zoom, Google Workspace, Asana, or similar)

Benefits

• Competitive pay
• Real growth opportunities