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AI Engineer / AI Architect

1 month, 3 weeks ago
Colombia
Full-time
Lead
AI Engineer
Software Development
AWS CI/CD Feature Engineering Generative AI Machine Learning MLOps Python
Apply Now
Robots & Pencils

Robots & Pencils

Robots & Pencils is a digital innovation firm that assists organizations in leveraging mobile, web, and AI technologies to modernize their operations and create efficient, user-centered solutions that enhance productivity and decision-making.

IT Services
51-250
Founded 2009
View All Jobs 14

Description

  • Define AI system architecture aligned to business objectives and long-term scalability.
  • Translate ambiguous AI opportunities into structured technical approaches.
  • Design modular AI platforms that support both 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.
  • Bridge research and engineering by operationalizing prototypes into production-ready systems.
  • Define evaluation metrics, validation processes, and rollout strategies.
  • Mentor junior and mid-level AI engineers and lead code reviews.
  • Guide teams through tradeoffs across performance, scalability, cost, and complexity.
  • Partner with product, engineering, and executive stakeholders to shape AI roadmaps.
  • Communicate technical strategy and system tradeoffs clearly to non-technical audiences.
  • Contribute to shared AI best practices and internal accelerators.

Requirements

  • 5+ years of experience in AI/ML engineering or applied machine learning.
  • Proven experience designing and deploying production AI systems.
  • Strong software engineering background, preferably in Python or a similar language.
  • 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.
  • Experience with generative AI, LLM systems, or retrieval-augmented architectures (preferred).
  • Exposure to multi-agent or agentic AI systems (preferred).
  • Experience with cloud-based AI platforms and infrastructure-as-code (preferred).
  • Background in consulting or professional services environments (preferred).
  • Experience designing AI systems in regulated or security-sensitive domains (preferred).
  • Hands-on AWS experience supporting cloud-native or AI/ML production systems (preferred).
  • AWS certifications at the Associate or Professional level, or equivalent practical AWS expertise (preferred).

Benefits

  • Advanced AWS Partnership and access to the AWS Patterns Partnership.
  • Specialized training and early access to emerging cloud capabilities.
  • Access to advanced engineering resources that support accelerated professional growth.
  • Opportunity to work closely with experienced architects and senior engineers.
  • Direct collaboration with US-based clients on real-world AI solutions.

Interested in this position?

Apply directly on the company website

Apply Now

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