Senior Solutions Engineer (AI Data & Unstructured Data Platforms)
New
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Hire HangarAI Data Platforms
Argentina - Buenos Aires; Secondary Locations: Chile - Santiago, South Africa - Johannesburg, Haiti - Port-au-Prince, Peru - Lima, Dominican Republic - Santo Domingo, Nicaragua - Managua, Panama - Panama City, Mexico - Mexico City, US Time Zones (EST–PST)ContractSenior
Salary2,000 - 3,000 USD per month
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Job Details
- Required Skills
- AWSPythonGCPAzureTerraformNetworking
Requirements
- Experience in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environments
- Strong experience with enterprise infrastructure across on-prem and cloud/hybrid environments (AWS, Azure, GCP)
- Solid foundation in networking and security fundamentals, including routing, firewalls, access controls, and IAM concepts
- Experience working with unstructured data environments (file systems, storage platforms, access models, governance considerations)
- Ability to communicate complex technical concepts clearly to both technical teams and executive-level stakeholders
- Working knowledge of AI concepts and practical familiarity with AI workflows, data preparation, and governance considerations
- Prior remote work experience and fluency with remote collaboration tools/platforms
- Must have ideally worked with US or UK-based companies
Responsibilities
- Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures
- Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders
- Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies
- Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement
- Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact
- Drive transition from POV to production through documentation, knowledge transfer, and expansion planning
- Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams
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