AI Engineer – AI Architect

🔥 12 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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