AI Engineer / AI Architect

Robots & Pencils; Colombia; Remote; COP 263,217,266 - 376,024,667; Full time

Benefits offered by this job

Access to specialized AWS training

Participation in advanced engineering resources

Collaborative working environment

Job summary

A global technology firm in Colombia is seeking an AI Engineer / AI Architect to lead the design and implementation of scalable AI systems. In this hands-on technical leadership role, you will define system architectures and guide teams through the full lifecycle of AI development. The ideal candidate will have over 5 years of experience in AI/ML engineering, proven expertise in building production AI systems, and strong software engineering skills. Join a team focused on delivering impactful AI solutions that create measurable business value.

Qualifications

• 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 and AI infrastructure.

Responsibilities

• Define AI system architecture aligned to business objectives.
• Lead design and implementation of ML systems and model services.
• Bridge research and engineering by operationalizing prototypes.
• Mentor junior and mid-level AI engineers.

Skills

AI/ML engineering

Software engineering (Python)

MLOps

Problem-solving skills

Leadership and mentoring

Communication skills

Tools

AWS

Cloud-based AI platforms

Distributed systems

Job description

Robots & Pencils is seeking an AI Engineer / AI Architect to design, build, and scale production‑grade AI systems that deliver measurable business value.

This is a hands‑on technical leadership role. You will define system architectures, lead implementation of scalable AI platforms, and guide teams through the full lifecycle of AI development, from experimentation and model iteration to secure, observable production deployment.

As a Level 4 leader, you are expected to own complex AI systems end‑to‑end, influence technical direction, mentor engineers, and make principled architectural tradeoffs under real‑world constraints.

Key Responsibilities

AI Architecture & Technical Strategy

• 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

AI System Design & Implementation

• 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

AI Platform & Infrastructure

• 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.

Research‑to‑Production Acceleration

• Bridge research and engineering by operationalizing prototypes into production‑ready systems
• Define evaluation metrics, validation processes, and rollout strategies
• Improve iteration velocity through tooling and automation

Technical Leadership & Mentorship

• Mentor junior and mid‑level AI engineers
• Lead code reviews and enforce engineering standards
• Guide teams in making informed tradeoffs across performance, scalability, cost, and complexity
• Contribute to shared AI best practices and internal accelerators

Cross‑Functional Collaboration

• Partner with product, engineering, and executive stakeholders to shape AI roadmaps
• Communicate technical strategy and system tradeoffs clearly to non‑technical audiences
• Align AI initiatives with business value and measurable outcomes

Required Skills & Qualifications

• 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
• Exposure to multi‑agent or agentic AI systems
• Experience with cloud‑based AI platforms and infrastructure‑as‑code
• Background in consulting or professional services environments
• Experience designing AI systems in regulated or security‑sensitive domains
• Hands‑on AWS experience supporting cloud‑native or AI/ML production systems
• AWS certifications (Associate or Professional level) or equivalent practical AWS expertise

Personal Competencies

• Architectural Thinking – Designs systems that scale and evolve
• Technical Ownership – Drives AI initiatives from concept to production
• Engineering Rigor – Prioritizes reliability, observability, and maintainability
• Mentorship – Elevates team capability through guidance and example
• Execution Focus – Delivers production‑ready systems, not just prototypes
• Comfort in Ambiguity – Translates unclear AI challenges into structured solutions

Why Join Robots & Pencils?

At Robots & Pencils, we build intelligent systems for real‑world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production‑ready digital and AI solutions that create measurable impact.

As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud‑native delivery. You'll collaborate closely with US‑based clients, gaining hands‑on exposure to complex problem‑solving while contributing to meaningful, real‑world outcomes.

By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional development.

This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem.