Senior Solutions Engineer – Enterprise AI, Data Infrastructure

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced Solutions Engineer to drive AI/data initiatives with customer stakeholders across SaaS, infrastructure, and AI environments. You will architect scalable, hybrid solutions spanning on-prem and cloud while delivering tailored demos and executive briefings.

The role emphasizes strong cross-functional collaboration and clear technical communication. You will collaborate with Product/Engineering, support complex deployments, and enable customers through

Qualifikationen

• 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.

Aufgaben

• 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

Kenntnisse

Customer-facing role

Cloud platforms

Networking & security

AI/ML workflows

Remote collaboration tools

Tools

Slack

Zoom

Google Workspace

Asana

Jobbeschreibung

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 aligning AI/data initiatives with business objectives. Proficient in troubleshooting and driving production adoption through effective communication and collaboration with technical and executive stakeholders.

Tools & Technologies

• Slack
• Zoom
• Google Workspace
• Asana