pre sales solution architect

TM Pre-Sales Solution Architect Apply Home Vacancies Pre-Sales Solution Architect Pre-Sales Solution Architect REMOTE Pre-sales AI/ML Python English level B2–C1 We are seeking an experienced Pre‑Sales Solution Architect to drive business development for the US market. You’ll work with diverse industries and a wide range of clients — from fast‑moving startups to large enterprise customers — shaping technical solutions that deliver real business impact. This role offers high client exposure, varied technical challenges across modern web and cloud stacks, and the opportunity to influence project direction from discovery through proposal. apply Key responsibilities: Elicit, analyze and formalize customer requirements; run discovery sessions and workshops Translate client business objectives into technical solution options and implementation roadmaps Prepare preliminary cost, timeframe and team composition estimates (T&M and fixed‑price) Design and document architectural solution options, API/integration approaches and scalability considerations Produce proposal materials: scope of work, technical & commercial documentation, roadmaps and presentations Participate in pre‑sales activities: demos, technical consultations and client negotiations Communicate with clients at all pre‑sale stages; align stakeholders on approach and trade‑offs Identify risks, constraints and dependencies, and propose mitigation strategies Contribute to product implementation strategy and coordinate handover between business, development and delivery teams Evaluate applicability, benefits and risks of AI/LLM solutions and advise on AI‑assisted development approaches. We'd love to hear from you if you have: 7+ years in software industry Proven experience with pre‑sale processes for IT projects, discovery and requirements gathering Experience estimating projects (time & materials and fixed price) and creating implementation roadmaps Strong client communication and negotiation skills Track record preparing technical and commercial proposal documents Broad technical expertise and hands‑on understanding of modern web technologies: Python, JavaScript/TypeScript ecosystem Solid understanding of backend architecture, APIs, integrations, databases and cloud infrastructure Familiarity with CI/CD and DevOps practices, system architecture and scalability principles Practical knowledge of modern AI tools and patterns (LLMs such as OpenAI/Claude/Gemini, RAG, AI‑assisted development and automation/agents) Ability to assess applicability, limitations, risks and costs of AI integrations.