Enterprise AI Solutions Architect | Technical Closer

Tekst; Oost-Vlaanderen; Remote; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Hybrid/onsite in Ghent

Job summary

Tekst is seeking a Solution Engineer to act as the technical backbone of our commercial engine. You will partner with Account Executives to prove Tekst’s platform capabilities to world‑class enterprises and translate business pain into technical reality.

You will lead architecture/discovery sessions, build PoCs, and script integrations to demonstrate real‑time automation on the customer data, while feeding requirements back to Engineering and Product teams to shape the future of Tekst.

Qualifications

• 2–5+ years in solutions engineering, sales engineering or technical consulting for enterprise SaaS.
• Strong understanding of APIs, webhooks and enterprise software architectures.
• Comfort with scripting to build integrations (Python or TypeScript).
• Ability to discuss with CTOs and Head of Operations and close deals.
• Excellent communication and presentation skills.

Responsibilities

• Own technical deal ownership with Account Executives to win enterprise deals.
• Lead architecture and discovery sessions with customer IT architects.
• Build PoCs and demos, scripting and integrating with customer data.
• Provide strategic feedback to Engineering and Product teams.
• Explain security, data handling, and AI architecture to customers.

Skills

APIs

Webhooks

Enterprise software architectures

Scripting (Python/TypeScript)

Closing mindset

Communication

Tools

Python

TypeScript

APIs & integrations

Job description

Tekst is seeking a Solution Engineer to act as the technical backbone of our commercial engine. You will partner with Account Executives to prove Tekst’s platform capabilities to world‑class enterprises and translate business pain into technical reality.

You will lead architecture/discovery sessions, build PoCs, and script integrations to demonstrate real‑time automation on the customer data, while feeding requirements back to Engineering and Product teams to shape the future of Tekst.