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We're looking for a Solutions Architect who enjoys working with clients: understanding their challenges, leading technical conversations, and turning early ideas into clear, well-grounded proposals.
This role focuses on presales, consulting, and communication with client leaders and engineering teams. Your engineering background will help you assess feasibility, discuss constraints, and recommend solutions clients can trust.
What you'll do
Lead technical presales: run client meetings independently, explore their needs, and help define the problem to solve.
Advise client CTOs and other decision-makers: discuss how their systems could evolve, explain technical trade-offs, and connect recommendations to business goals.
Partner with the sales team: prepare technical proposals, initial estimates, and delivery plans, then present and discuss them with clients.
Help clients identify valuable AI use cases: assess opportunities, limitations, and readiness for adoption.
Build alignment between clients and delivery teams: agree on expectations, scope, assumptions, and success criteria, and ensure a clear handover to delivery.
Share your expertise: help sales and project teams become more confident discussing technical topics and AI opportunities.
Support communication in challenging project situations: help identify the issue, discuss it calmly with the client, and agree on next steps.
What matters to us
Active listening and curiosity: you listen carefully and ask questions that uncover the needs behind the initial request.
Adaptability: you get up to speed quickly in unfamiliar business domains and adapt your communication to your audience, from engineers to CEOs.
Clear and constructive communication: you explain complex ideas clearly, make a strong case for your recommendations, and handle objections constructively.
Pragmatism: you're comfortable setting boundaries, pushing back on unrealistic expectations, and offering workable alternatives.
Value orientation: when evaluating a solution, you consider client value, budget, timelines, risks, and the company's interests.
Transparency: you're transparent about uncertainty and what needs to be validated before making commitments.
Empathy: we value empathy, clear communication, and the ability to turn discussions into concrete agreements.
Experience that will help you succeed
Experience in technical consulting, presales, or a client-facing architect or tech lead role.
Ability to independently lead discovery sessions, present solutions, and discuss recommendations with C-level stakeholders.
Experience preparing technical proposals, estimates, and architecture reviews.
Fluent English for client discussions, negotiations, and technical conversations in an international environment. Knowledge of additional European languages (e.g., German, French, Spanish) is a plus.
Technical Background
Strong seniority: at least 6 years of hands-on software development experience, including at least 2 years in technical leadership or architecture.
Systems architecture: deep understanding of backend and enterprise systems, with the ability to assess an existing solution, propose a target architecture, and outline a migration plan.
Prototyping: ability to validate key assumptions with a proof of concept when needed (primary programming language can vary; Python is a plus for AI work and prototyping).
Practical AI expertise: hands-on understanding of where AI solutions fail, which risks need to be addressed early, and how to account for security, sensitive data, and the constraints of regulated industries.
Value-driven tech approach: ability to explain when AI will deliver value and what needs to be in place for it to work.
Why this role
High-impact involvement: an opportunity to apply your engineering expertise to business challenges, join the conversation from the start, influence the choice of solution, and help turn opportunities into viable projects.
Great fit for consultants at heart: you'll enjoy this role if client conversations, exploring options, and making the case for a solution interest you as much as architecture itselfand if success means a solution the client understands and the team can deliver.

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