AI Engineer – AI Architect

🕒 Setembro 2

🇨🇴 Colômbia – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 19%

O que significa: quão provável esta vaga está aberta sem contratação ativa.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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Robots & Pencils

SiteLinkedInTodas as Vagas

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.

Descrição

• Define AI system architecture aligned to business objectives and long-term scalability • Translate ambiguous AI opportunities into structured technical approaches • Design modular, extensible AI platforms supporting experimentation and production workloads • Establish architecture decision records (ADRs) and technical documentation standards • Lead design and implementation of ML systems, model services, and inference pipelines • Build scalable training, evaluation, and deployment workflows • Architect data ingestion, feature engineering, and model serving strategies • Ensure reliability, observability, and performance optimization of AI systems • Design and implement end-to-end AI pipelines and agentic orchestration frameworks • Establish LLMOps best practices including CI/CD, prompt versioning, and real-time model observability • Optimize distributed inference systems and retrieval-augmented generation (RAG) performance • Ensure AI infrastructure aligns with security, compliance, and GPU/token cost-efficiency standards • Operationalize research prototypes into production-ready systems • Define evaluation metrics, validation processes, and rollout strategies • Improve iteration velocity through tooling and automation • Mentor junior and mid-level AI engineers • Lead code reviews and enforce engineering standards • Guide teams in tradeoffs across performance, scalability, cost, and complexity • Partner with product, engineering, and executive stakeholders to shape AI roadmaps • Communicate technical strategy and system tradeoffs to non-technical audiences • Align AI initiatives with business value and measurable outcomes

🎯 Requisitos

• Applications from outside Colombia will not be considered for this role • 5+ years of experience in AI/ML engineering or applied machine learning • Proven experience designing and deploying production AI systems • Strong software engineering background (Python or similar) • Experience with distributed systems and scalable data architectures • Deep understanding of MLOps, model lifecycle management, and AI infrastructure • Experience building and maintaining ML pipelines and automated deployment workflows • Strong problem-solving skills and architectural judgment • Demonstrated leadership and mentoring experience • Excellent communication skills for technical and executive stakeholders • Nice to have: experience with generative AI, LLM systems, or retrieval-augmented architectures • Nice to have: exposure to multi-agent or agentic AI systems • Nice to have: experience with cloud-based AI platforms and infrastructure-as-code • Nice to have: background in consulting or professional services environments • Nice to have: experience designing AI systems in regulated or security-sensitive domains • Nice to have: hands-on AWS experience supporting cloud-native or AI/ML production systems • Nice to have: AWS certifications (Associate or Professional level) or equivalent practical AWS expertise

🏖️ Benefícios

• Specialized training through the Advanced AWS Partnership and AWS Patterns Partnership • Early access to emerging cloud capabilities • Access to advanced engineering resources • Professional growth opportunities • Collaboration with experienced architects and senior engineers • Hands-on exposure to complex problem-solving and real-world AI outcomes