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.