AI Architect

Vaga não está no LinkedIn

🔥 10 horas atrás

🌐 Reino Unido, Suíça, +6 outros países – Remoto

🇬🇧 Reino Unido – Remoto (RU) 🇨🇭 Suíça – Remoto 🇺🇦 Ucrânia – Remoto 🇲🇩 Moldávia – Remoto 🇬🇪 Geórgia – Remoto 🇦🇲 Armênia – Remoto 🇲🇪 Montenegro – Remoto 🇹🇷 Turquia – Remoto

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 15%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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WhiteTech

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

A WhiteTech é uma empresa de produtos que desenvolve infraestrutura fintech modular, white-label, e plataformas de payment orchestration para empresas financeiras reguladas, incluindo PSPs, neobanks e provedores de Open Banking. A plataforma oferece um payment orchestrator que direciona pagamentos entre centenas de métodos, mais de 500 integrações e mais de 50 componentes modulares, disponibilizados por meio de uma única API, além de recursos avançados como roteamento dinâmico de Open Banking, verificação de recebimento de pagamentos, workflows automatizados (liquidação e conciliação), analytics e segurança pronta para compliance (PCI DSS, PSD2 e DORA). A WhiteTech se posiciona como uma provedora enterprise B2B de fintech SaaS, com time-to-market acelerado, e como parceira de serviços técnicos — sem operar contas transacionais diretamente.

Descrição

• Define and evolve WhiteTech’s AI architecture and long-term AI technology strategy • Design production-grade AI and LLM-powered solutions integrated with existing fintech products and services • Architect AI agents, conversational systems, intelligent workflows, and AI-assisted automation • Design Retrieval-Augmented Generation (RAG) architectures, enterprise knowledge systems, and semantic search solutions • Select AI models, model providers, platforms, and infrastructure based on business, technical, security, latency, and cost requirements • Define patterns for integrating LLMs and AI services into backend and microservice architectures • Design scalable orchestration layers for prompts, tools, agents, APIs, models, and enterprise data sources • Establish standards for prompt management, model routing, structured outputs, context management, and AI service integration • Define AI evaluation frameworks, quality metrics, monitoring, observability, and feedback loops • Design safeguards and guardrails addressing reliability, security, privacy, explainability, and responsible AI use • Address AI-specific risks including hallucinations, prompt injection, data leakage, model misuse, and unpredictable model behavior • Work with Security and Compliance teams to meet fintech data protection and regulatory requirements • Design model lifecycle management, versioning, experimentation, evaluation, and deployment strategies • Optimize AI systems for performance, latency, scalability, reliability, and cost • Evaluate emerging AI technologies for practical value in WhiteTech products and operations • Lead architectural reviews for AI initiatives and validate engineering-team solutions • Support Proof-of-Concept initiatives and move successful AI experiments into production • Collaborate with Product teams to identify and prioritize AI opportunities with measurable business impact • Create architectural documentation, reference architectures, technical guidelines, and reusable AI patterns • Mentor engineers and technical leaders on AI architecture and engineering best practices

🎯 Requisitos

• 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 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

🏖️ Benefícios

• 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

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