AI Foundation Architect

Location: Any city in Colombia; fully remote

Company

hirify.global is an international group of 3,000 experts across 30 countries that designs and operationalizes data, cloud, and AI solutions for enterprise organizations.

What you will do

• 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, technical standards, and documented architecture decisions.
• Design secure and reliable AI foundations covering identity management, access controls, monitoring, resilience, and human oversight.
• Review technical designs and guide engineering teams on architecture and production requirements.
• Collaborate with AI, software, and data engineers, governance specialists, clients, and technical stakeholders.
• Explain architecture decisions, manage technical risks, and develop reusable architecture solutions.

Requirements

• 8+ years of experience designing complex technical architectures, subject to local seniority confirmation.
• 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 with clients, engineering leaders, and technical stakeholders.
• 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.
• Knowledge of distributed systems, microservices, APIs, enterprise integration architectures, cloud security, identity and access management, scalability, resilience, observability, data architectures, RAG, AI agents, tool integration, and human oversight.

Nice to have

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

Culture & Benefits

• International and multicultural projects.
• Opportunities to work with leading Data, Cloud, and AI technologies.
• Training programs, continuous professional development, professional growth, and internal mobility.
• Collaborative culture focused on innovation, learning, diversity, and knowledge exchange.