Senior Solutions Engineer – Enterprise AI, Data Infrastructure

Hire Hangar Global; Buenos Aires; On-site; ARS 1,200,000 - 2,000,000; Full time

Job summary

Jobtailor is seeking a senior customer-facing technical leader to align AI and data initiatives with business goals, delivering scalable solutions across on-prem, cloud, and hybrid environments.

You will engineer and present demos, lead end-to-end deployments, troubleshoot performance and security, and serve as a technical liaison between customers and Product/Engineering teams.

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, fluent with remote collaboration tools (Slack, Zoom, Google Workspace, Asana), ideally with US/UK-based companies.

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

Cloud architecture

Hybrid environments

Security fundamentals

Unstructured data governance

Technical communication

AI/ML workflows

Remote collaboration tools

Tools

Slack

Zoom

Google Workspace

Asana

Job description

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

Requirements

• 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.

Core Competencies

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.