Hire Hangar
Clients
PrincipalSolutionsEngineer–AIReadiness&UnstructuredDataPlatforms
“Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms at Hire Hangar. Skills: AI Readiness, Unstructured Data Platforms, Solutions Engineering, Cloud Platforms (AWS, Azure, GCP), Hybrid Infrastructure, Security Architecture, Data Governance. Guide enterprise customers through AI readiness initiatives. Guide enterprise customers through large-scale unstructured data transformations”
What You'll Achieve.
Ensure performance, governance, and measurable ROI; Deliver scalable technical architectures; Achieve defined success metrics for proof-of-value engagements; Ensure production readiness; Influence product roadmap decisions
Industry & Context.
Translate customer AI, compliance, and data governance goals into scalable technical architectures; Optimize system performance, validate throughput, and ensure production readiness
Must have prior remote work experience, be fluent with remote collaboration tools and platforms, ideally worked with US or UK-based companies, Applications without this experience will not be considered, required to record a video as part of the application process, If you do not record a video, we will not be able to consider you for ANY open roles
What They're Looking For.
Must Have
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), 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.
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
What You'll Do.
Guide enterprise customers through AI readiness initiatives
Guide enterprise customers through large-scale unstructured data transformations
Own the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion
Operate within complex enterprise environments
Translate customer AI
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
and ensure production readiness
Develop technical documentation and best practices for enterprise rollout
Provide structured customer insights to influence product roadmap decisions
How You'll Work.
Team & Collaboration
Lead technical workshops and stakeholder alignment sessions; Provide structured customer insights to influence product roadmap decisions
Communication Scope
Ability to present technical and business value clearly to C-level stakeholders
Process & Methodology
Design phased deployment strategies, Execute and manage proof-of-value engagements
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