Senior Solutions Engineer – Enterprise AI & Data Infrastructure

Hire Hangar, Inc.; Argentina; Hybrid; ARS 181,906,000 - 242,542,000; Full time

Job summary

Hire Hangar, Inc. is seeking a Senior Solutions Engineer to guide enterprise customers through discovery, architecture, and POV deployments in AI and unstructured data environments.

You’ll bridge Sales, Product, and Engineering, delivering measurable outcomes from initial engagement through early production deployment. The role requires strong infrastructure expertise, excellent communication with engineers and executives, and hands-on technical execution across on-prem, cloud, and hybrid

Qualifications

• 5+ years in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or similar).
• Strong experience with AWS, Azure, or GCP, including hybrid architecture design.
• Solid understanding of networking and security principles (firewalls, IAM, routing, access controls).
• Experience with large-scale unstructured data systems and governance models.
• Ability to communicate complex technical concepts to engineers and executives.
• Working knowledge of AI/ML workflows, data preparation, and compliance considerations.
• Must have prior remote work experience with remote collaboration tools and platforms (Slack, Zoom, Google Workspace, Asana or similar).

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

Skills

Customer-facing

Cloud architecture

Networking basics

Data governance

Communication

AI/ML workflows

Remote work experience

Tools

AWS

Azure

GCP

Terraform

Python

PowerShell

Slack

Zoom

Google Workspace

Asana

Job description

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