Senior Solutions Engineer - Enterprise AI, Data Infrastructure
Summary
Designs and deploys AI/data infrastructure solutions for enterprise customers, aligning technical needs with business goals across cloud and hybrid environments.
Responsibilities
- Conduct deep technical discovery and align AI/data initiatives with business objectives
- Architect scalable solutions across on-prem, cloud, and hybrid environments
- Deliver customized demos, workshops, and executive briefings
- Lead end-to-end POV deployments, including installation, configuration, and validation
- Troubleshoot performance, integration, and security issues during rollout
- Drive production adoption through documentation, enablement, and expansion planning
- Serve as the technical liaison between customers and internal Product/Engineering teams
Requirements
- 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
- 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.
Core Competencies
Demonstrates expertise in architecting scalable solutions across on-prem, cloud, and hybrid environments, with a strong focus on AI/data initiatives and customer engagement. Proficient in troubleshooting and driving production adoption while serving as a technical liaison between customers and internal teams.
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