Solution Architect (AI)

TL;DR

Solution Architect (AI): Designing and guiding the implementation of modern digital solutions with an accent on AI-native engineering and cloud-native architectures. Focus on translating business challenges into scalable technical solutions and leading the technical dimension of presales activities.

Location: Brussels, Flanders, Belgium

Company

hirify.global is a leading European digital solutions provider offering tailored corporate technology and software solutions to help clients deliver results.

What you will do

• Design end-to-end scalable and secure solution architectures aligned with customers' business objectives.
• Lead architecture workshops and translate business challenges into sustainable technical solutions.
• Guide implementation teams throughout the delivery lifecycle to ensure architectural consistency.
• Define integration patterns and architectural roadmaps across cloud-native and hybrid environments.
• Drive the adoption of AI-native engineering practices, including AI-assisted analysis, development, testing, and quality assurance.
• Lead the technical dimension of presales activities, including RFP responses, sizing exercises, and proposal development.

Requirements

• Extensive experience designing complex enterprise or solution architectures.
• Strong understanding of cloud platforms, modern application architectures, and integration patterns.
• Ability to communicate confidently with both technical experts and business stakeholders.
• Strong interest and ability to translate AI-native concepts into pragmatic, secure solutions.
• Experience supporting presales activities, solution proposals, or large transformation initiatives.
• Familiarity with architecture frameworks such as TOGAF or ArchiMate.

Nice to have

• Experience with AI-assisted delivery and software engineering accelerators.
• Knowledge of automation, DevSecOps, platform engineering, or agentic SDLC approaches.

Culture & Benefits

• Opportunity to be part of a community of passionate technology professionals.
• Exposure to challenging customer engagements and strategic initiatives defining technical direction.
• Investment in continuous learning, innovation, and collaboration to grow as a technology leader.
• Focus on implementing practical AI-native engineering to improve quality, speed, and business value.