Senior Solutions Engineer – Enterprise AI, Data Infrastructure

Hire Hangar Global

Senior Solutions Engineer leading technical discovery across AI and unstructured data environments while collaborating with enterprise customers. Responsible for solution architecture and customer engagement throughout the deployment process.

Posted 7/17/2026contractBuenos Aires • 🇦🇷 ArgentinaSenior💰 $2,000 - $3,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting scalable solutions across on-prem, cloud, and hybrid environments, with a strong focus on AI/data initiatives and customer engagement. Proficient in troubleshooting and driving production adoption while serving as a technical liaison between customers and internal teams.

Highest-signal resume keywords

AWSAzureGCPNetworking PrinciplesAI/ML Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical DiscoverySolution ArchitectureInstallationConfigurationValidation

Soft Skills

CommunicationCustomer EngagementCollaboration

Tools & Technologies

SlackZoomGoogle WorkspaceAsana

Industry Keywords

SaaSInfrastructureAIUnstructured Data SystemsGovernance Models

Tech Stack

Tools & technologies

AWSAzureCloudFirewallsGoogle Cloud Platform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Competitive pay
Remote work
Video interview requirement for application consideration