AI Engineer / AI Architect

robotsandpencils; Colombia; Presencial; COP 378.334.000 - 567.501.000; Jornada completa

Descripción de la vacante

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 with end-to-end ownership of complex AI systems, guiding teams through the full lifecycle from experimentation to secure production deployment.

You will define system architectures, lead implementation of scalable AI platforms, mentor engineers, and drive architectural tradeoffs under real-world

Formación

• 5+ years in AI/ML engineering or applied ML.
• Proven record 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 model lifecycle management.
• Experience building ML pipelines and automated deployment.
• Excellent communication for technical and executive audiences.

Responsabilidades

• Define AI system architecture aligned to business goals.
• Lead design and implementation of ML systems and inference pipelines.
• Design end-to-end AI pipelines and AI infrastructure.
• Operationalize prototypes into production-ready systems.
• Mentor engineers and enforce engineering standards.
• Partner with product and exec stakeholders to shape roadmaps.

Conocimientos

AI/ML engineering

Production AI systems

Python

Distributed systems

MLOps

ML pipelines

Leadership

Communication

Herramientas

AWS

Terraform

CI/CD

Descripción del empleo

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 pro