AI Solution Architect

• Help design, build and continuously improve the clients online platform.
  
  


• Research, suggest and implement new technology solutions following best practices/standards.
  
  


• Take responsibility for the resiliency and availability of different products.
  
  


• Be a productive member of the team.
  
  

Requirements

• AI Solution Architect with several years of production software engineering experience in Python, TypeScript, Java, or comparable technology stacks.
  
  
  


• Hands-on experience building LLM and agent-based solutions on at least one major AI platform, combined with strong software engineering, integration, and production delivery capabilities.
  
  
  


• Design and develop AI solutions using LLMs and agentic architectures.
  
  
  


• Build production-ready solutions using Python, TypeScript, Java, or comparable technologies.
  
  
  


• Work hands-on with major AI platforms such as Anthropic, OpenAI, Google, or Microsoft.
  
  
  


• Apply agentic patterns including tool use, retrieval, prompting, model behaviour, evaluation, and multi-agent workflows.
  
  
  


• Design multi-agent solutions involving orchestration, delegation, and self-reflection.
  
  
  


• Integrate AI solutions with APIs, databases, cloud platforms, and enterprise integration environments.
  
  
  


• Apply strong practices around debugging, testing, integration, and production engineering.
  
  
  


• Collaborate with customers, users, and cross-functional technical teams in ambiguous and evolving delivery environments.
  
  
  


• Balance rapid prototyping with scalable, maintainable, and production-quality engineering.
  
  
  


• Experience taking agentic AI or LLM solutions from prototype through production rollout.
  
  
  


• Experience with agent orchestration frameworks, MCP servers, and custom tool integrations.
  
  
  


• Experience with data and retrieval pipelines, workflow automation, or model deployment.
  
  
  


• Experience with AI evaluation, observability, troubleshooting, and release safeguards.
  
  
  


• Vendor certification in a major AI platform such as Anthropic, OpenAI, Google, or Microsoft.
  
  
  
  
  

Benefits

• A challenging, innovating environment.
  
  


• Opportunities for learning where needed.