Production-Ready AI Foundation Architect

Keyrus Colombia

Norte

Hybrid

COP 120,000,000 - 180,000,000

Full time

4 days ago
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Benefits offered by this job

International projects
Leading technologies in Data, Cloud, &
Training & Professional development
Career growth & internal mobility
Collaborative culture

Job summary

Keyrus Colombia is actively seeking an AI Foundation Architect to design scalable, enterprise-grade AI foundations and multi-cloud integration. You will connect models, data, APIs, and security controls across environments, ensuring reliable, production-ready systems.

The role emphasizes leadership, architecture governance, and collaboration with client teams to deliver measurable business value. The candidate brings deep experience in distributed systems, cloud platforms (AWS/Azure/GCP), and

Qualifications

  • 8+ years of experience designing complex technical architectures.
  • Proven track record in production enterprise apps and distributed systems.
  • Experience architecting production GenAI, LLM, or agentic solutions.
  • Experience across cloud infrastructure, integration, security, and operations.
  • Ability to define architecture standards, reference designs, and integration patterns.

Responsibilities

  • Define scalable architectures for production AI and GenAI solutions.
  • Establish architecture principles, reference designs, integration patterns, and standards.
  • Document architecture decisions involving cloud platforms, data access, security, and cost.
  • Review designs and guide engineering teams to production-readiness.
  • Design secure and reliable AI foundations with identity management and monitoring.
  • Collaborate with AI/Software/Data Engineers and governance teams to align solutions.
  • Engage with clients to gather requirements and communicate decisions.

Skills

Enterprise cloud
Distributed systems
GenAI architecture
Client communication
Security IAM

Tools

AWS
Azure
GCP

Job description

Keyrus Colombia is actively seeking an AI Foundation Architect to design scalable, enterprise-grade AI foundations and multi-cloud integration. You will connect models, data, APIs, and security controls across environments, ensuring reliable, production-ready systems.

The role emphasizes leadership, architecture governance, and collaboration with client teams to deliver measurable business value. The candidate brings deep experience in distributed systems, cloud platforms (AWS/Azure/GCP), and

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