AI Architect

Organisations increasingly require scalable AI architectures capable of supporting agents, automation and enterprise-grade deployment. We support businesses designing practical AI solutions that can operate securely and reliably in production environments

Role Overview

• Design end-to-end AI and agent architectures
• Define system interactions between models, tools, APIs and business applications
• Select appropriate frameworks and technical approaches
• Guide engineering teams through implementation
• Ensure scalability, security and maintainability
• Translate business requirements into technical blueprints

Tools & Technologies (required)

• Agent frameworks including LangGraph, CrewAI, AutoGen or similar
• OpenAI, Anthropic and other LLM platforms
• Cloud environments including AWS, Azure or GCP
• API design and integration
• Microservices and distributed architecture principles
• Experience with multi-agent systems
• Knowledge of vector databases and RAG architectures
• MLOps or LLMOps exposure
• Experience operating within enterprise environments

About You

• Strong systems-thinking capabilityA
• Able to simplify complex technical concepts
• Comfortable making architecture decisions with incomplete information
• Practical understanding of AI deployment challenges
• Focused on reliability, scalability and operational readiness

Benefits & Perks

• amongst the best around