Senior Solutions Engineer – Enterprise AI & Data Infrastructure

 Posted 6 days ago
     
 $2000 - $3000 per month
  
5-10 years experience
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AI Summary

Lead enterprise customers through technical discovery, solution architecture, and proof-of-value execution for AI and data infrastructure. Act as the technical bridge between customers and internal product teams to drive production adoption and measurable outcomes.

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.

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

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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