--- title: 'AI Architect at WhiteTech' canonical: 'https://feeny.ai/job/ai-architect-whitetech-remote-mnjypqsz7x0q' type: 'job' last_seen: '2026-10-18' --- # AI Architect at WhiteTech - **Company:** WhiteTech - **Location:** Remote - **Work type:** remote - **Posted:** 2026-06-23 - **Last confirmed live:** 2026-10-18 - **Apply:** https://job-boards.eu.greenhouse.io/whitetech/jobs/4894678101 ## Job description At WhiteTech, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions. Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With WhiteTech, clients gain access to a platform designed for flexibility, scalability, and seamless integration. Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape. Whether scaling your PSP, enhancing your EMI services, or diving into open banking, WhiteTech is your partner for innovation and growth. We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET). We are looking for an AI Architect who will define and drive the architecture of AI-powered capabilities across WhiteTech’s fintech platform. You will be responsible for designing scalable, secure, reliable, and production-ready AI solutions, including LLM-powered applications, intelligent automation, AI agents, knowledge retrieval systems, and AI-enabled product features. This role combines strong software architecture expertise with hands-on understanding of modern AI technologies and their application in complex, regulated, high-load environments. ## Your role and impact As an AI Architect, you will shape WhiteTech’s AI technology strategy and define how artificial intelligence is integrated into our products, internal platforms, and engineering ecosystem. You will work closely with Engineering, Product, Security, Data, Compliance, and business stakeholders to identify high-impact AI use cases and transform them into sustainable technical solutions. You will act as a technical authority for AI architecture, establishing standards, patterns, and best practices while helping engineering teams safely and effectively adopt AI technologies.Your work will directly influence how WhiteTech uses AI to improve automation, operational efficiency, product capabilities, customer experience, and engineering productivity. ## Your key responsibilities will include - Defining and evolving WhiteTech’s AI architecture and long-term AI technology strategy. - Designing production-grade AI and LLM-powered solutions integrated with existing fintech products and services. - Architecting AI agents, conversational systems, intelligent workflows, and AI-assisted automation. - Designing Retrieval-Augmented Generation (RAG) architectures, enterprise knowledge systems, and semantic search solutions. - Selecting appropriate AI models, model providers, platforms, and infrastructure based on business, technical, security, latency, and cost requirements. - Defining patterns for integrating LLMs and AI services into existing backend and microservice architectures. - Designing scalable orchestration layers for prompts, tools, agents, APIs, models, and enterprise data sources. - Establishing standards for prompt management, model routing, structured outputs, context management, and AI service integration. - Defining AI evaluation frameworks, quality metrics, monitoring, observability, and feedback loops. - Designing safeguards and guardrails to improve reliability, security, privacy, explainability, and responsible use of AI. - Addressing AI-specific risks including hallucinations, prompt injection, data leakage, model misuse, and unpredictable model behavior. - Working with Security and Compliance teams to ensure AI solutions meet fintech data protection and regulatory requirements. - Designing strategies for model lifecycle management, versioning, experimentation, evaluation, and deployment. - Optimizing AI systems for performance, latency, scalability, reliability, and cost. - Evaluating emerging AI technologies and determining their practical value for WhiteTech products and operations. - Leading architectural reviews for AI initiatives and validating solutions proposed by engineering teams. - Supporting Proof-of-Concept initiatives and helping teams move successful AI experiments into production. - Collaborating with Product teams to identify and prioritize AI opportunities with measurable business impact. - Creating architectural documentation, reference architectures, technical guidelines, and reusable AI patterns. - Mentoring engineers and technical leaders on AI architecture and engineering best practices. What makes you stand out - 8+ years of software engineering experience, including significant architecture or technical leadership responsibility. - Previous experience as AI Architect, Software Architect, Solution Architect, Principal Engineer, ML Architect, AI Engineer, or a similar senior technical role. - Strong practical experience designing and delivering production-grade AI or LLM-powered systems. - Deep understanding of modern Generative AI and Large Language Model architectures. - Experience integrating commercial and/or open-source LLMs into production applications. - Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval. - Experience designing AI agents, tool-calling workflows, or multi-step AI orchestration. - Understanding of prompt engineering, context engineering, structured outputs, and model evaluation. - Experience working with AI/LLM APIs and model platforms such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or similar technologies. - Experience with vector databases or search technologies such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, or similar solutions. - Strong understanding of distributed systems, microservices, APIs, asynchronous processing, and event-driven architecture. - Strong backend engineering background and ability to integrate AI capabilities into complex existing systems. - Experience with cloud-native environments, Docker, Kubernetes, and modern infrastructure. - Understanding of AI observability, monitoring, tracing, evaluation, and production incident analysis. - Strong understanding of security, privacy, access control, and data governance in AI systems. - Experience designing systems that work with sensitive or regulated data. - Ability to evaluate trade-offs between model quality, latency, reliability, privacy, and cost. - Experience documenting and presenting architectural decisions to both technical and non-technical stakeholders. - Ability to balance experimentation and innovation with production reliability and business priorities. ## Nice to have - Experience in FinTech, Payments, Banking, EMI, PSP, or Open Banking. - Experience implementing AI solutions in regulated industries. - Experience with AI-powered fraud detection, compliance, AML/KYC, risk management, customer support, or financial operations. - Experience with agentic architectures and multi-agent systems. - Experience with LLM evaluation frameworks and automated AI quality testing. - Experience with fine-tuning, model customization, or self-hosted/open-source models. - Understanding of MLOps and LLMOps practices. - Experience building AI gateways, model abstraction layers, or multi-model architectures. - Experience with knowledge graphs and advanced information retrieval. - Experience implementing human-in-the-loop AI workflows. - Experience with platform modernization and large-scale distributed systems. - Experience defining technical standards across multiple engineering teams. - Experience mentoring Senior and Lead Engineers. What success looks like in this role - WhiteTech has a clear and scalable architecture for building and integrating AI-powered capabilities. - Engineering teams follow consistent AI architecture, security, and engineering standards. - AI prototypes can be efficiently transformed into reliable production solutions. - AI-powered features deliver measurable business and customer value. - AI systems are observable, testable, secure, cost-efficient, and maintainable. - Model quality and AI application performance are continuously measured and improved. - AI-specific security, privacy, compliance, and reliability risks are systematically addressed. - Reusable AI components and architectural patterns reduce development time across teams. - WhiteTech can adopt new AI technologies without becoming tightly coupled to individual vendors or models. - Architecture decisions enable rapid AI innovation without compromising the reliability, security, and scalability expected from a financial technology platform. Our recruitment process typically follows these stages: - Application Screening - Interview Process - Prescreening Call with a Recruiter - Technical Interview - Final Interview - Job Offer & Background Check Embrace the opportunity to develop your skills in a cutting-edge fintech environment. Please apply now to be part of our dynamic team and make a tangible impact on the future of payments! Let’s build something great together! We offer: - Competitive compensation package (commensurate with your experience) - 19 business days of flexible Paid Time Off (PTO) - Fully remote work with flexible hours (within the CET time zone) from any location of your choice - Values-driven culture with a friendly and supportive work environment - Opportunity to regularly participate in conferences and community events as both a participant and contributor - Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency Embrace the opportunity to develop your skills in a cutting-edge fintech environment. Please apply now to be part of our dynamic team and make a tangible impact on the future of payments! Let’s build something great together! ## About WhiteTech ## Company Overview - **One-liner**: WhiteTech provides a white-label fintech infrastructure platform for payment service providers, neobanks, and open banking platforms, enabling rapid launch of branded payment orchestration and PSP solutions. - **Entity Type**: Private (LinkedIn lists as "Public Company," but no ticker or SEC filings are publicly available; likely a classification error). - **Headquarters**: Kyiv, Ukraine (majority of team located there; also operates in Poland, Germany, Spain, UK, and other countries). - **Founded**: Approximately 2017 (based on "8+ years of industry experience" as of 2025). - **Founders**: Serg Zakharov (founder, named multiple times on the company website). ## Core Business - **Primary industry**: Fintech infrastructure / Payment orchestration - **Target customers**: B2B – licensed fintechs (PSPs, neobanks, EMI), traditional banks modernizing digital infrastructure, and non-fintech companies (e-commerce, marketplaces, SaaS) embedding financial services. - **Mission**: "To help businesses unlock their full potential in a rapidly evolving financial landscape." ## Products & Services - **White-Label Fintech Platform**: A modular "business-in-a-box" infrastructure featuring multi-currency IBANs, Visa/Mastercard issuance, a robust payment gateway, and 50+ modules accessible via a single API. Designed for near-instant deployment (under 24 hours). - **Smart Routing Engine**: Dynamically selects payment initiation providers and clearing routes based on currency, geography, transaction size, and success rates to maximize coverage and approval rates. - **Payment Verification Solution**: A proprietary system that confirms receipt (not just initiation) of payments, reducing fraud and cancelled transactions. - **Chargeback Management Dashboard**: Centralized dispute management with rule-based workflows, automated representment, and real-time risk reporting. - **Advanced Analytics & Reporting**: Custom reports for regulatory audits, financial reporting, and breakdowns by transaction type, country, method, and currency. ## Market Standing - **Valuation**: Not disclosed. - **Key Metric**: Total employee count – 38 (per LinkedIn, as of mid-2025) vs. "200+ experts" claimed on the website; the 150+ engineering team noted in marketing may include contractors. Revenue not publicly available. - **Notable Investors/Partners**: Not publicly listed. - **Growth Signals**: Operates across 10 countries; LinkedIn follower growth of +5.5% monthly (7,301 followers). However, headcount declined -1.8% monthly and job postings dropped -65.4% month-over-month, indicating possible contraction or stabilization. ## Competitive Advantages - **Proprietary Payment Receipt Confirmation**: A verified receipt system that goes beyond initiation confirmation, reducing fraud and ensuring settlement. - **Intelligent Open Banking Routing**: Dynamic multi-provider routing that increases approval rates and coverage. - **500+ Payment Integrations**: Extensive pre-built connections to acquirers, banks, and payment methods. - **Modular, Fast Deployment**: 50+ modules via a single API; technical environment can be provisioned in under 24 hours. - **High Compliance**: PCI DSS, PSD2, and DORA standards with 24/7 incident handling. ## Strategic Focus WhiteTech aims to solve "the deepest infrastructural problems PSPs faced—fraud uncertainty and inefficient routing." The company is focused on building foundational payment layer technology, expanding smart routing capabilities, and supporting regulated financial businesses with automated workflows for settlements, reconciliation, and compliance. ## Why Work Here - **Fully remote** – flexible hours and location (workspaces in Ukraine, UAE, and other countries). - **Equipment provided** – laptops, monitors, and other hardware tailored to the role. - **Benefits**: 19 paid vacation days, 10 sick leave days, coworking space compensation, paid corporate English lessons, access to BetterMe health/mental wellness apps. - **Professional development**: Budget for certifications, conference attendance, and learning opportunities. - **Culture**: Values include Transparency, Quality, Innovation, Convenience, and Focus on Individuality. The company describes itself as looking for "new friends, gifted minds, team players, restless talents and passionate problem solvers." - **Engineering focus**: Heavy use of PHP/Symfony, DDD, SEON anti-fraud, and modern fintech infrastructure. ## Sources 1. [whitetech.com](https://whitetech.com/) 2. [whitetech.com/careers](https://whitetech.com/careers) 3. [job-boards.greenhouse.io/whitetech](http://job-boards.eu.greenhouse.io/whitetech) 4. [linkedin.com/company/whitetech1](https://www.linkedin.com/company/whitetech1) 5. 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