Senior AI Architect

LABUR is partnering with a client to identify a Sr. AI Architect who will lead the design and delivery of enterprise-scale AI solutions. This role involves shaping system design, governance, and best practices across the AI portfolio while balancing speed, quality, and scalability.

Responsibilities:

• Lead design and delivery of enterprise AI solutions, including LLM assistants, RAG workflows, and agent-based systems, balancing speed, quality, and scalability
• Define and enforce reference architectures, reusable components, and internal best-practice artifacts for AI projects to ensure consistency and maintainability
• Provide architectural reviews and guidance to project teams, ensuring alignment with enterprise standards, security, compliance, and validation requirements
• Develop LLM-powered assistants and copilots that execute real-world workflows such as customer support automation, knowledge summarization, and enterprise search using Agentic AI frameworks (LangChain Agents, Bedrock Agents)
• Build, maintain, and optimize semantic search and vector pipelines, including ingestion, embeddings, and indexing, for performance and relevance
• Establish and drive LLMOps approaches covering prompt and model versioning, agent lifecycle management, feedback loops, and continuous evaluation
• Mentor engineering teams on generative AI techniques, fine-tuning, prompt engineering, ethics, and explainability
• Ensure AI solutions adhere to regulatory and validation standards (e.g., FDA validation for AI software used in manufacturing), internal governance, and secure operations
• Rapidly prototype new AI methods and components, including multimodal and agentic workflows, to validate feasibility and incorporate into enterprise systems