Hybrid Employment

Hire Hangar is hiring a Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms

About the Role

Hire Hangar is hiring a Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms 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 within complex enterprise environments.

What You'll Do

  • 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.

What We're Looking For

  • 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.
  • Prior remote work experience, fluent with remote collaboration tools and platforms (Slack, Zoom, Google Workspace, Asana).
  • Ideally worked with US or UK-based companies.

Nice to Have

  • 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.

Technical Stack

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

Work Mode

This role operates on a hybrid model and is open to candidates in remote locations.

Required Skills
AWSAzureGCPPythonTerraformPowerShellEnterprise StorageIdentity and Governance FrameworksAI ReadinessUnstructured Data PlatformsHybrid Systems
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Hire Hangar

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Job Details
Category infrastructure
Posted a month ago