AI Engineer / AI Architect

APPLICATIONS FROM OUTSIDE COLOMBIA WILL NOT BE CONSIDERED FOR THIS ROLE 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 growth.  

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.