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Job Title

Senior Solutions Engineer – Enterprise AI & Data Infrastructure

Location

Remote (Hybrid with customers as needed)

Time Zone

US Time Zones (EST–PST)

Role Overview

We are hiring a Senior Solutions Engineer to lead enterprise customers through technical discovery, solution architecture, and proof-of-value execution across AI and unstructured data environments. This role bridges Sales, Product, and Engineering, ensuring customers achieve measurable outcomes from initial engagement through early production deployment. The ideal candidate combines strong infrastructure expertise with customer-facing confidence and hands-on technical execution.

Key Responsibilities

Conduct deep technical discovery and align AI/data initiatives with business objectives
Architect scalable solutions across on-prem, cloud, and hybrid environments
Deliver customized demos, workshops, and executive briefings
Lead end-to-end POV deployments, including installation, configuration, and validation
Troubleshoot performance, integration, and security issues during rollout
Drive production adoption through documentation, enablement, and expansion planning
Serve as the technical liaison between customers and internal Product/Engineering teams

Required Qualifications

5+ years in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or similar) within SaaS, infrastructure, or AI environments
Strong experience with AWS, Azure, or GCP, including hybrid architecture design
Solid understanding of networking and security principles (firewalls, IAM, routing, access controls)
Experience working with large-scale unstructured data systems and governance models
Ability to communicate complex technical concepts to both engineers and executive stakeholders
Working knowledge of AI/ML workflows, data preparation, and compliance considerations
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 supporting regulated industries (healthcare, fintech, insurance)
Proficiency in scripting or automation (Python, PowerShell)
Familiarity with Infrastructure as Code (Terraform or similar)
Exposure to data classification or large-scale analytics platforms

Tools & Technology

AWS, Azure, GCP
On-prem storage systems and hybrid infrastructure
IAM and enterprise security frameworks
Python, PowerShell, Terraform
Slack, Zoom, Google Workspace, Asana