Senior Solutions Engineer – Enterprise AI & Data Infrastructure
Panama City, Panama, PanamaAll locationsPanama City, Panama, PanamaBuenos Aires, Argentina, ArgentinaHavana, Cuba, CubaSantiago, Chile, ChileJohannesburg, South Africa, South AfricaPort-au-Prince, Haiti, HaitiSanto Domingo, Dominican Republic, Dominican RepublicManagua, Nicaragua, NicaraguaMexico City, Mexico, Mexico Hybrid
$24,000–$36,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are hiring a Senior Solutions Engineer to lead enterprise customers through technical discovery, solution architecture, and proof-of-value execution across AI and unstructured data environments. This role bridges Sales, Product, and Engineering, ensuring customers achieve measurable outcomes from initial engagement through early production deployment. The ideal candidate combines strong infrastructure expertise with customer-facing confidence and hands-on technical execution.
What you'll bring
- 5+ years in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or similar) within SaaS, infrastructure, or AI environments
- Strong experience with AWS, Azure, or GCP, including hybrid architecture design
- Solid understanding of networking and security principles (firewalls, IAM, routing, access controls)
- Experience working with large-scale unstructured data systems and governance models
- Ability to communicate complex technical concepts to both engineers and executive stakeholders
- Working knowledge of AI/ML workflows, data preparation, and compliance considerations
- Applications without this experience will not be considered.
- 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.
- Experience supporting regulated industries (healthcare, fintech, insurance)
- Proficiency in scripting or automation (Python, PowerShell)
- Familiarity with Infrastructure as Code (Terraform or similar)
- Exposure to data classification or large-scale analytics platforms