Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms

Hire Hangar, Inc.; Argentina; Hybrid; ARS 227,383,000 - 288,018,000; Full time

Job summary

Hire Hangar, Inc. seeks a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and unstructured data transformations, owning the technical lifecycle from design and proof-of-value to production success.

You will operate in complex environments, delivering scalable architectures, deployment strategies across on-prem and cloud, and governance and security practices while collaborating with stakeholders in US time zones.

Qualifications

• Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors
• Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)
• Strong grounding in security architecture, IAM, and governance frameworks
• Experience working with large-scale unstructured data and compliance-sensitive environments
• Ability to present technical and business value clearly to C-level stakeholders
• Practical understanding of AI data pipelines, readiness assessments, and governance controls
• 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

Responsibilities

• Translate customer AI, compliance, and data governance goals into scalable technical architectures
• Design phased deployment strategies across on-prem and cloud ecosystems
• Execute and manage proof-of-value engagements with defined success metrics
• Lead technical workshops and stakeholder alignment sessions
• Optimize system performance, validate throughput, and ensure production readiness
• Develop technical documentation and best practices for enterprise rollout
• Provide structured customer insights to influence product roadmap decisions

Skills

Enterprise pre-sales

Customer-facing engineering

Hybrid cloud infra

Security IAM governance

Unstructured data

C-level communication

AI data pipelines

Remote work experience

Remote collaboration tools

Tools

AWS

Azure

GCP

Terraform

Python

PowerShell

Slack

Zoom

Google Workspace

Asana

Job description

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

Job Title Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms

Location Remote (Hybrid with customers as needed)

Time Zone US Time Zones (EST–PST)

Role Overview We are seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale unstructured data transformations. This role owns the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion. You will operate within complex enterprise environments, ensuring performance, governance, and measurable ROI.

Key Responsibilities

• Translate customer AI, compliance, and data governance goals into scalable technical architectures
• Design phased deployment strategies across on-prem and cloud ecosystems
• Execute and manage proof-of-value engagements with defined success metrics
• Lead technical workshops and stakeholder alignment sessions
• Optimize system performance, validate throughput, and ensure production readiness
• Develop technical documentation and best practices for enterprise rollout
• Provide structured customer insights to influence product roadmap decisions

Required Qualifications

• Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors
• Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)
• Strong grounding in security architecture, IAM, and governance frameworks
• Experience working with large-scale unstructured data and compliance-sensitive environments
• Ability to present technical and business value clearly to C-level stakeholders
• Practical understanding of AI data pipelines, readiness assessments, and governance controls
• 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 in highly regulated sectors (healthcare, financial services, insurance)
• Background in automation, scripting, or Infrastructure as Code
• Familiarity with metadata analysis, data classification, or enterprise scanning technologies

Tools & Technology

• AWS, Azure, GCP
• Enterprise storage and hybrid systems
• Identity and governance frameworks
• Python, PowerShell, Terraform
• Slack, Zoom, Google Workspace, Asana