Solution Architect (Pre-Sales / Discovery)

About the project:

Every client engagement starts with a question: can we actually build this, and how? This role sits at that exact moment — leading technical discovery and pre-sales across multiple prospective and active engagements at Glorium. You’ll turn ambiguous client challenges into concrete solution designs, realistic estimates, and architectures that delivery teams can actually execute. The work spans Node.js and .NET backends, React/Angular front-ends, and an increasing share of AI/LLM integration — RAG pipelines, agentic workflows, orchestration, and guardrails.

A new team member will be in charge of:

• Lead discovery and scoping sessions end-to-end — from the first client call to a signed-off solution design, proposal, and effort estimate.
• Own the architectural output: high-level and detailed diagrams, data flows, integration patterns, and trade-off decisions that delivery teams inherit and build on.
• Design AI/LLM integration patterns — RAG, agentic workflows, orchestration, guardrails — and factor AI-accelerated delivery into estimates from the start.
• Act as the primary technical voice with clients during pre-sales: demos, presentations, PoCs, and the credibility that moves deals forward.

• Mentor delivery teams on architecture decisions and applied-AI best practices, keeping quality consistent across engagements.

   

Does this relate to you?

• 7+ years in software development, with at least 2 years in an architectural role that included real pre-sales or client-facing solutioning — not just internal design work.
• Hands-on expertise in Node.js and/or .NET system architecture; you can design scalable, secure, maintainable systems and explain every trade-off you made.
• Proven ability to produce clear architectural diagrams and data flows — the kind delivery teams can pick up without a lengthy handover call.
• Comfortable running discovery and scoping sessions solo: translating vague business requirements into structured solution designs and realistic estimates.
• Strong practical experience designing AI/LLM integrations — RAG pipelines, agentic workflows, provider APIs, and governance/guardrail considerations.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML service offerings.
• Upper-Intermediate English or above — enough to present architecture to a non-technical client stakeholder and hold your own in a technical deep-dive with their engineering team.

• React or Angular front-end exposure and availability for occasional client calls between 6–8 PM CET are a strong plus.

   

Ready to try your hand? Send your CV without a doubt!