AI Architect

Responsibilities

• Design and lead AI/ML architecture, including LLM-based solutions, model orchestration, and intelligent workflows
• Develop scalable architectures integrating LLMs, APIs, and enterprise systems
• Define frameworks for prompt engineering, model fine-tuning, evaluation, and monitoring
• Architect end-to-end AI platforms across cloud environments (Azure, AWS, GCP)
• Ensure AI solutions align with data privacy, security, and compliance
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
• Design API-first architectures to expose AI capabilities across platforms
• Lead the integration of structured and unstructured data into AI pipelines
• Establish best practices for AI governance, explainability, and responsible AI
• Provide technical leadership in resolving complex architecture challenges

Requirements

• Strong experience in AI/ML architecture and solution design
• Proven experience working with LLMs, generative AI, and AI platforms
• Experience designing and integrating APIs and microservices
• Cloud experience in Azure (preferred), AWS, or GCP
• Familiarity with vector databases, embeddings, and semantic search
• Understanding of Tech Risk, compliance, or SOC-related processes preferred
• Experience in distributed systems and scalable architectures
• M.S. or B.S. in Computer Science, Artificial Intelligence, Data Science, or Engineering
• Advanced level English proficiency

About the Company

Client Technology is focused on driving growth opportunities and solving complex business challenges through the development of robust platforms and next-generation, AI-powered products.