# Solution Architect (Pre-Sales, Delivery & AI Enablement) > SPD Technology · Ukraine (Remote) · Full-time · Posted 2026-07-30 **Workplace:** remote **Department:** AI Office ## Description At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a **Solution Architect (Pre-Sales, Delivery & AI Enablement)** to join us as part of our team. ### About the role This is an internal architecture role at the intersection of pre-sales, delivery and AI enablement. Around 60% of our incoming pre-sales requests now involve AI/ML (OCR, Computer Vision, fraud detection, RAG and agentic solutions), so we need an architect who can shape, challenge, estimate and sell these solutions — not a narrow ML specialist. You will work across multiple engagements and domains rather than a single product, and collaborate closely with our in-house ML/MLOps team rather than owning deep ML modelling yourself. The role has three focuses: • Pre-Sales & Estimation — shaping and defending solutions and estimates for new engagements. • Solution Architecture & SDLC ownership — owning end-to-end architecture and the overall target-architecture vision across engagements. • AI Enablement — helping teams adopt AI-assisted development: selecting the right tools/harness per project, onboarding, upskilling, and monitoring adoption. **Technical stack** • Languages & platforms: Java, C#, Python, Node.js — multi-stack breadth, without being locked into one ecosystem. • Architecture & integration: microservices, event-driven and messaging patterns, scalable APIs, enterprise integrations, data-analytical systems. • Cloud: AWS, GCP or Azure; managed IaaS/PaaS/SaaS services. • Containers & orchestration: Docker, Kubernetes. • Data & search: PostgreSQL, MS SQL, distributed caching and replication (Redis), enterprise search (Elasticsearch), vector stores for retrieval. • AI/GenAI: LLM orchestration, multi-agent frameworks, RAG pipelines, evaluation and guardrails; OCR/Computer Vision and fraud-detection solutions delivered together with ML engineers. • AI-assisted development: AI coding tools and harnesses (e.g., BMAD, Spec Kit), agentic workflows, context management. • Architecture practices: ADRs, target/transition-state and system diagrams, NFRs and the "-ilities", secure-by-design, CI/CD. **Work Environment** Fully remote, with a flexible schedule and the requirement to attend all key team and client meetings. ### As a qualified expert, You will **1\. Pre-Sales & Estimation** • Lead the technical discovery process and design robust, scalable, cost-effective solutions for proposals, RFI/RFP responses and new client engagements. • Own estimation end-to-end: turn Sales’ discoveries into engineering-grounded estimates; challenge and correct estimates that are not grounded in real delivery effort. • Act as the bridge between Sales and Delivery — ensure estimates reflect engineers’ input and that the delivery team understands and can execute what was sold. • Prepare technical sections of proposals: solution descriptions, architecture diagrams, assumptions, risks and delivery approach. • Be the primary technical point of contact for prospective clients, clearly articulating the solution, technology stack and implementation strategy to technical and non-technical stakeholders. • Produce an architecture vision, roadmap, MVP definition and high-level delivery plan during discovery/inception. • Where AI/ML is involved, scope and estimate it correctly, working with our in-house ML engineers for deep modelling input. **2\. Solution Architecture & Delivery** • Own and evolve the end-to-end architecture of solutions (backend services, data storage, integrations, cloud infrastructure), explicitly addressing the "-ilities": scalability, availability, recoverability, maintainability, extensibility, portability, usability and security. • Hold and promote the target architecture vision across the portfolio; run architecture reviews and design workshops with delivery teams. • Drive system evolution toward well-defined target and transition (interim) states, using system diagrams that give engineering teams a clear, actionable execution path. • Propose pragmatic, balanced technical decisions in areas such as build vs. buy, now vs. later and refactor vs. rebuild, and document the trade-offs behind them. • Define and maintain architecture artefacts: high-level and system diagrams, data flows, non-functional requirements, technical guidelines and ADRs — and author AI-ready solution specifications as part of the design lifecycle. • Provide hands-on guidance: design sessions, review of critical technical decisions and PRs, spikes and PoCs when needed. • Ensure the solution meets scalability, security, availability and cost-efficiency expectations, and simplify otherwise complex problems into pragmatic designs. • Participate in starting new projects from scratch: scope, architecture approach, MVP slice and key technical decisions. **3\. AI Enablement (a key differentiator for this role)** • Understand AI-assisted development deeply: how agents and agentic workflows work, how LLMs behave, context management, and the trade-offs/gaps of AI coding tools and harnesses (e.g., BMAD, Spec Kit) — including limitations such as incomplete TDD, combined dev+test single-agent roles, and context handling. • Recommend which AI dev tools/harness fit which class of project, phase and SDLC — and where they do not; identify gaps and judge whether they are critical for a given project. • Customize and guide the harness and agent setup to fit a team’s SDLC, rather than blindly adopting a ready-made flow. • Support AI enablement across projects: initial guidance, onboarding of teams (incl. SPD Labs), upskilling engineers and AI champions, and monitoring adoption while answering questions along the way. • Drive system innovation by leveraging AI as a core enabler — prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions. • Provide early, defensible ballpark estimates using AI tooling to help qualify opportunities before deeper discovery. ### We’re looking for you if you have • 7+ years of hands-on software development experience with strong core engineering principles, including 3+ years designing complex software architectures for multi-stack environments. • Broad, hands-on engineering experience across the full SDLC: distributed systems, cloud-native architectures, scalable APIs, data-driven solutions and enterprise integrations. • Practical experience designing data solutions across relational databases, distributed caching, replication and enterprise search engines. • Experience architecting on at least one major cloud platform using containerization and orchestration, plus a working map of managed cloud services and the habit of continuously learning new platforms, frameworks and libraries — commercial and open source. • Practical, hands-on understanding of AI/GenAI and agentic development — agents, LLM behaviour, context management, AI coding harnesses and their trade-offs. This is central to the role. • Ability to work effectively alongside ML engineers on AI/ML solutions (OCR/Computer Vision, fraud detection, RAG, agentic) — enough to scope, challenge and estimate, without being a deep ML modelling specialist. • A disciplined approach to architectural decision-making: systematically evaluating trade-offs, risks and technology pros/cons to deliver resilient, cost-effective solutions. • Strong estimation skills and the ability to defend estimates to both Sales and Delivery. • Proven ability to manage stakeholder expectations and build cross-organizational alignment, adapting from deep technical dives with engineers to non-technical dialogue with senior stakeholders. • Excellent communication and client-facing skills; people-oriented and comfortable guiding, onboarding and upskilling engineers — enablement is a core part of the job. • Strong analytical and problem-solving skills, with the ability to define technical solutions under tight deadlines and vague requirements. • Prior experience in pre-sales, technical discovery or solution consulting. • Experience coaching engineering teams and growing their ability to make high-quality autonomous software-design decisions. ### What’s in it for You **Reveal great tech solutions** Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. **Experience an agile and flexible working environment** Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. **Embrace the opportunity for personal and professional growth** Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. **Be among like-minded people** Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. ## Apply [Apply at SPD Technology](https://apply.workable.com/spd-technology/j/B68147DE9D/apply) --- Powered by [Workable](https://www.workable.com)