Sr. AI Architect

LABUR is partnering with a client to identify a Sr. AI Architect who will lead the design, development, and delivery of an enterprise-scale agentic AI platform built on AWS. This role involves shaping LLM-powered assistants and establishing governance across the AI portfolio while working closely with business stakeholders.

Responsibilities:

• Lead the design and hands-on implementation of an enterprise agentic AI platform leveraging AWS Bedrock, AgentCore, and foundation models including Claude, Amazon Titan, and OpenAI models available through Bedrock
• Architect and build RAG pipelines end to end, covering ingestion, embeddings, vector indexing, and semantic search optimization for performance and relevance
• 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 like LangChain Agents and Bedrock Agents
• Engage directly with business stakeholders to understand requirements, identify high-value use cases, and translate them into well-scoped technical solutions built on the agentic platform
• Define and enforce reference architectures, reusable components, and best-practice artifacts to ensure consistency, maintainability, and scalability across AI initiatives
• Establish and drive LLMOps practices covering prompt and model versioning, agent lifecycle management, feedback loops, and continuous evaluation
• Ensure AI solutions adhere to regulatory and validation standards (e.g., FDA validation for AI software), internal governance, security protocols, and responsible AI principles
• Mentor engineering teams on generative AI techniques, fine-tuning, prompt engineering, ethics, and explainability while rapidly prototyping new agentic and multimodal workflows to validate feasibility