Principal Solutions Engineer – AI Readiness & Unstructured Data Platforms

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 worke