AI Solution Architect

📋 Description

• Design end-to-end AI solutions: Generative AI applications, LLM-powered workflows, intelligent
• Turn business requirements into practical technical architectures, choosing the right models
• Build and validate prototypes and proofs of concept to test feasibility, business value and
• Work with AI engineers, software engineers, data scientists and data engineers to take solutions
• Design agentic solutions, including tool calling, orchestration, memory, retrieval and
• Integrate AI solutions with enterprise applications, APIs, data platforms, vector databases and

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Data Science, AI
• 6+ years in software engineering, solution or cloud engineering, data/AI engineering or solution
• Hands-on experience designing and building AI/ML or Generative AI solutions.
• Solid working knowledge of LLMs, prompt engineering, RAG, embeddings, vector search and AI agents.
• Experience with Microsoft Azure and/or AWS.
• Experience designing and integrating APIs, microservices and cloud-native applications.

🎁 Benefits

• Work on AI solutions that reach production in a regulated, high-impact industry.
• Collaborate with global teams and a client that is investing in scaling AI responsibly.
• Grow toward ownership of architecture decisions and reusable AI standards.
• Join a company that puts AI at the center of how it delivers technology.