
51 - 200 funcionários
🤖 Inteligência Artificial
🤝 B2B
☁️ SaaS
💰 Venture Round em 2022-04
Artificial Intelligence • B2B • SaaS
A Robots & Pencils é uma empresa de inovação digital especializada no desenvolvimento de estratégias digitais e produtos utilizando tecnologias móveis, web e de ponta para impulsionar a transformação das empresas. Eles se concentram em áreas como desenvolvimento móvel, design de produto, pesquisa de UX, inteligência artificial, machine learning e gestão de mudanças organizacionais. Com o compromisso de combinar criatividade com tecnologia, eles visam desbloquear insights de dados e aprimorar a inovação em produtos, entregando, assim, excelentes experiências aos clientes e ajudando as marcas a obter uma vantagem competitiva.
🕒 4 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $165.604 - $228.491 / ano
⏰ Tempo Integral
🔴 Especialista
🤖 Engenheiro de IA
👻 Score fantasma 7%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
🤖 Inteligência Artificial
🤝 B2B
☁️ SaaS
💰 Venture Round em 2022-04
Artificial Intelligence • B2B • SaaS
A Robots & Pencils é uma empresa de inovação digital especializada no desenvolvimento de estratégias digitais e produtos utilizando tecnologias móveis, web e de ponta para impulsionar a transformação das empresas. Eles se concentram em áreas como desenvolvimento móvel, design de produto, pesquisa de UX, inteligência artificial, machine learning e gestão de mudanças organizacionais. Com o compromisso de combinar criatividade com tecnologia, eles visam desbloquear insights de dados e aprimorar a inovação em produtos, entregando, assim, excelentes experiências aos clientes e ajudando as marcas a obter uma vantagem competitiva.
• Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements • Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies • Design data architectures including warehouses, data lakes, and batch and streaming pipelines • Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications • Define infrastructure-as-code, CI/CD, and DevOps standards across engagements • Drive performance, scalability, cost, and reliability optimization across deployed systems • Ensure architecture meets security, governance, and compliance requirements • Lead cloud migrations and platform modernization initiatives • Use AI-forward tools such as Claude and Cursor to ship higher-quality work at pace • Partner with senior leadership and clients as the principal technical voice on strategy and direction • Communicate complex technical concepts to engineering and non-engineering stakeholders • Align architecture with business priorities across engineering, data, AI, and product teams • Develop and maintain architecture documentation, standards, and guidelines • Champion architectural standards and best practices • Mentor experienced engineers and architects • Own difficult architectural and integration challenges as the senior technical decision-maker • Evaluate emerging technologies and recommend tools, frameworks, and patterns
• 8+ years of experience in software engineering • At least 5 years in technical leadership roles • Deep expertise in cloud platforms and cloud-native architectures, including AWS, Azure, or GCP • Strong background in microservices, serverless, containers, and event-driven systems • Proficiency with infrastructure as code and CI/CD • Strong data architecture expertise across relational, NoSQL, and big data systems • Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration • Strong experience designing production AI/ML systems, including LLMs, MLOps, and model serving • Understanding of networking, security, identity, and access management in cloud environments • Experience with governance, compliance, and observability frameworks • Strong software engineering skills with Python, APIs, and containerization • Track record of senior technical leadership and mentoring experienced engineers • Strong stakeholder communication skills • Demonstrable usage of AI-forward tools such as Claude and Cursor • Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications is a plus • Experience designing AI/ML solutions integrating with SAP EAM data structures via SAP BTP or cloud-native APIs is a helpful extra
• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) for eligible employees
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