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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,

📌 Senior Solutions Engineer (Buenos Aires)
🏢 Hire Hangar
📍 Buenos Aires