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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, Asan

📌 Principal Solutions Engineer – AI Readiness (Argentina)
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📍 Argentina