Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms

Visa Hunt; Argentina; Híbrido; ARS 226.487.000 - 286.883.000; Jornada completa

Descripción de la vacante

Hire Hangar is seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale unstructured data transformations. You will own the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion—operating within complex enterprise environments with hybrid deployments.

Responsibilities include designing scalable architectures, leading workshops, assessing governance and security, and translating

Formación

• Extensive experience in enterprise pre-sales or customer-facing engineering roles in SaaS, AI, or infra.
• Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP).
• Strong grounding in security architecture, IAM, and governance frameworks.
• Experience with large-scale unstructured data and compliance environments.
• Ability to present technical and business value to C-level stakeholders.
• Familiarity with AI data pipelines, readiness assessments, and governance controls.
• Must have prior remote work experience and be fluent with collaboration tools; US/UK exposure preferred.

Responsabilidades

• Translate customer AI/goals into scalable architectures.
• Design phased deployment strategies across on-prem and cloud.
• Lead proof-of-value engagements with defined metrics.
• Run technical workshops and stakeholder alignment sessions.
• Optimize performance, throughput, and production readiness.
• Create technical docs and enterprise rollout guidance.
• Provide insights to influence product roadmap decisions.

Conocimientos

Enterprise pre-sales

Cloud platforms

Security architecture

Unstructured data

Executive storytelling

Remote work experience

US/UK experience

Herramientas

AWS

Azure

GCP

Terraform

Python

PowerShell

Slack

Zoom

Google Workspace

Asana

Descripción del empleo

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

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