AI Foundation Architect

Keyrus; Colombia; On-site; COP 220,000,000 - 420,000,000; Full time

Benefits offered by this job

International projects

Training & development programs

Professional growth & internal moves

Collaborative culture & continuous学习

Job summary

Keyrus is seeking an AI Foundation Architect to design the technical foundations enabling AI and agentic systems to operate reliably at enterprise scale. You will connect AI models, data, applications, APIs, and cloud services into end-to-end architectures that engineering teams can implement and maintain.

You will lead architecture decisions, set standards, and collaborate with clients and governance specialists to ensure solutions are scalable, secure, and cost-effective, with strong emphasis

Qualifications

• Strong knowledge of enterprise systems, cloud platforms, and AI technologies.
• Ability to connect technologies and make architecture decisions considering security, performance, cost.
• Strong communication and consulting skills with clients and engineering teams.

Responsibilities

• Define scalable architectures for production AI and GenAI solutions, connecting models, agents, data platforms, enterprise applications, APIs, and cloud infrastructure.
• Establish architecture principles, reference designs, integration patterns, and technical standards for engineering teams.
• Make and document key architecture decisions involving cloud platforms, model integration, data access, security, scalability, performance, and cost.
• Review technical designs and guide engineering teams to ensure solutions follow the agreed architecture and production requirements.
• Design secure and reliable AI foundations, including identity management, access controls, monitoring, resilience, and human oversight.
• Collaborate with AI Engineers, Software Engineers, Data Engineers, and Governance specialists to align technical solutions across areas.
• Work directly with clients and technical stakeholders to understand requirements, explain architecture decisions, manage technical risks, and develop reusable architecture solutions.

Skills

Cloud architecture

GenAI integration

Distributed systems

APIs & integration

Cloud security

Data integration

Production AI

RAG architecture

Tools

Amazon Bedrock

Azure AI

Vertex AI

OpenAI APIs

Kubernetes

Job description

Why Keyrus, Why Now!

Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.

As AI becomes part of everyday business operations, organizations need reliable architectures that connect models, agents, data, applications, cloud infrastructure, security, and human oversight.

At Keyrus, you'll help define the foundations that make intelligent systems scalable, secure, and reliable in production.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

What you'll architect

As an AI Foundation Architect, you will design and define the technical foundations that enable AI and agentic systems to operate reliably at enterprise scale.

You will connect AI models, enterprise data, applications, APIs, cloud services, and security controls into complete architectures that engineering teams can implement and maintain.

Your focus will be on architecture decisions, technical standards, system integration, and production readiness. You'll work closely with clients and technical teams to ensure solutions are scalable, secure, cost-effective, and aligned with business needs.

Your responsibilities

• Define scalable architectures for production AI and GenAI solutions, connecting models, agents, data platforms, enterprise applications, APIs, and cloud infrastructure.
• Establish architecture principles, reference designs, integration patterns, and technical standards for engineering teams.
• Make and document key architecture decisions involving cloud platforms, model integration, data access, security, scalability, performance, and cost.
• Review technical designs and guide engineering teams to ensure solutions follow the agreed architecture and production requirements.
• Design secure and reliable AI foundations, including identity management, access controls, monitoring, resilience, and human oversight.
• Collaborate with AI Engineers, Software Engineers, Data Engineers, and Governance specialists to align technical solutions across different areas.
• Work directly with clients and technical stakeholders to understand requirements, explain architecture decisions, manage technical risks, and develop reusable architecture solutions.

Who you are

You are an experienced technical architect with strong knowledge of enterprise systems, cloud platforms, and modern AI technologies.

You understand how different technologies connect and can make practical architecture decisions based on security, performance, scalability, cost, and business requirements.

You combine technical leadership with strong communication skills and enjoy working directly with clients and engineering teams to solve complex challenges.

What you bring

Experience

• 8+ years of experience designing complex technical architectures, subject to local seniority confirmation.
• Strong experience designing and guiding architecture for production enterprise applications and distributed systems.
• Practical experience architecting production GenAI, LLM, or agentic solutions.
• Experience making technical decisions across cloud infrastructure, applications, integrations, security, and operational systems.
• Experience defining architecture standards, reference designs, technical requirements, and integration patterns.
• Strong communication and consulting skills, including experience working with clients, engineering leaders, and technical stakeholders.

Technical skills

• Strong architecture expertise in at least one major cloud ecosystem, such as AWS, Azure, or GCP.
• Experience with enterprise AI services and model integration, such as Amazon Bedrock, Azure AI, Vertex AI, OpenAI APIs, or comparable platforms.
• Strong knowledge of distributed systems, microservices, APIs, and enterprise integration architectures.
• Understanding of cloud security, identity and access management, scalability, resilience, and observability.
• Knowledge of data architectures, including Lakehouse, streaming, data platforms, and enterprise data integration.
• Understanding of production AI architectures, including RAG, AI agents, model access, tool integration, and human oversight.

Nice to have

• Experience designing multi-agent systems, advanced RAG architectures, or multi-model AI solutions.
• Knowledge of MLOps, LLMOps, CI/CD, Kubernetes, Terraform, and infrastructure automation.
• Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or comparable technologies.
• Familiarity with vector databases, AI gateways, event-driven architectures, or model-serving platforms.
• Experience with enterprise architecture frameworks, architecture reviews, or regulated environments.
• Experience in consulting or professional services, including technical workshops and architecture assessments.

What makes you successful

• You make clear architecture decisions that balance business needs, technical requirements, and production constraints.
• You design practical, secure, scalable solutions without introducing unnecessary complexity.
• You guide engineering teams while respecting the technical ownership of different specialists.
• You communicate technical decisions clearly to clients and create reusable architecture standards and documentation.

Role details

• Location: To be confirmed
• Contract: To be confirmed
• Work model: To be confirmed
• Level: Lead / Principal individual contributor

Rewards – What we offer at Keyrus

• International and multicultural projects
• Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems
• Access to training programs and continuous professional development
• Professional growth opportunities and internal mobility
• A culture built on collaboration, innovation, and continuous learning

About Keyrus

At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.

As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.

Powered by our proprietary Human Orchestrated Model HOM, we architect reliable:

• Intelligence Foundations
• Human in Command governance
• Performance Steering

With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.

AI does not transform businesses. Architected intelligence does.

For more information: www.keyrus.com