Senior Solutions Engineer (AI Data & Unstructured Data Platforms)

Hire Hangar, Inc.; Argentina; Remote; ARS 136,430,000 - 197,065,000; Full time

Job summary

Hire Hangar, Inc. is seeking a Senior Solutions Engineer to own the technical journey from discovery to POV execution and early production success. The role spans on-prem, cloud, and hybrid environments, focusing on unstructured data platforms and AI readiness.

You will partner with Sales, engage with enterprise customers, and move deployments toward production with strong collaboration tools. Candidate should have deep experience in enterprise infrastructure, networking, and governance, plus a

Qualifications

• Experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, or similar).
• Experience with on-prem, cloud, and hybrid architectures.
• Strong networking and security fundamentals.
• Experience with unstructured data environments and governance considerations.
• Ability to convey complex technical concepts to both technical and executive audiences.
• Remote-work experience and proficiency with collaboration tools (Slack, Zoom, Google Workspace, Asana).

Responsibilities

• Lead technical discovery with enterprise customers and translate objectives into scalable architectures.
• Deliver live demos, technical deep dives, and executive-level presentations.
• Design deployment architectures across on-prem, cloud, and hybrid environments with trade-offs.
• Own end-to-end POV engagements including installation, configuration, integration, and validation.
• Troubleshoot deployment and performance issues; measure measurable business impact.
• Assist in transitioning POV to production with documentation and knowledge transfer.

Skills

Customer-facing

Discovery

Executive communication

Cloud environments

Tools

AWS

Azure

GCP

Networking

Job description

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

Job Title Senior Solutions Engineer (AI Data & Unstructured Data Platforms)

Location Remote (Hybrid with customers as needed)

Time Zone US Time Zones (EST-PST)

Role Overview We are seeking a customer-facing Senior Solutions Engineer to own the technical customer journey—from discovery and solution design through hands-on proof-of-value (POV) execution and early production success. This role sits at the intersection of enterprise infrastructure (on-prem, cloud, hybrid), unstructured data at scale, AI readiness, and governance/compliance. You will partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive production adoption.

Key Responsibilities

• Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures
• Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders
• Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies
• Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement
• Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact
• Drive transition from POV to production through documentation, knowledge transfer, and expansion planning
• Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams

Required Qualifications

• Experience in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environments
• Strong experience with enterprise infrastructure across on-prem and cloud/hybrid environments (AWS, Azure, GCP)
• Solid foundation in networking and security fundamentals, including routing, firewalls, access controls, and IAM concepts
• Experience working with unstructured data environments (file systems, storage platforms, access models, governance considerations)
• Ability to communicate complex technical concepts clearly to both technical teams and executive-level stakeholders
• Working knowledge of AI concepts and practical familiarity with AI workflows, data preparation, and governance considerations
• Non-negotiable: Prior remote work experience and fluency with remote collaboration tools/platforms (Slack, Zoom, Google Workspace, Asana, or similar)
• Candidates must have ideally worked with US or UK-based companies - applications without this experience will not be considered.

Preferred Qualifications

• Experience in regulated or compliance-driven industries (healthcare, financial services, insurance)
• Exposure to scripting or automation (Python, PowerShell) and/or Infrastructure as Code (Terraform or similar)
• Familiarity with data classification, metadata/content-based analysis, and large-scale scanning or analytics workflows

Tools & Technology

• Cloud: AWS, Azure, GCP
• Enterprise Infrastructure: On-prem storage systems, file servers, hybrid architectures
• Security & IAM: Access controls, identity models, governance frameworks
• Automation: Python, PowerShell, Terraform
• Collaboration: Slack, Zoom, Google Workspace, Asana (or similar)