AI Architect

BT-429 – AI Architect Location: Tysons, VA **Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.** Bespoke Technologies is seeking an experienced AI Architect to design, architect, prototype, and implement advanced Artificial Intelligence and Generative AI solutions supporting mission-critical data and technology initiatives. The AI Architect will work closely with senior mission stakeholders, data scientists, software engineers, and technical teams to translate complex requirements into scalable AI architectures and solutions. The ideal candidate will possess strong Python development skills, a deep understanding of LLMs and Generative AI architecture, and experience designing AI systems that integrate data, APIs, cloud services, AI agents, and modern GenAI capabilities. The role requires a strong understanding of how AI systems interact with structured and unstructured data, including OCR, knowledge graphs, embeddings, vector-based architectures, and data pipelines. Responsibilities Design, architect, and prototype AI and Generative AI solutions that address complex mission and customer requirements. Develop AI architectures leveraging Large Language Models (LLMs), Generative AI, AI agents, and modern AI services. Develop solutions using Python for AI engineering, data processing, integrations, and prototyping. Apply prompt engineering techniques to optimize LLM performance and develop effective AI applications. Understand LLM context windows, tokenization, embeddings, and embedding models and how they impact AI application design. Design and implement AI agents, including agent orchestration, tool calling, and function calling. Configure, integrate, and interact with MCP (Model Context Protocol) servers to provide AI systems with access to external tools, services, and data. Design and integrate APIs supporting AI applications and interactions between services, models, and data sources. Incorporate OCR capabilities into AI architectures for extracting and processing information from documents and other unstructured data. Develop and leverage knowledge graphs, including an understanding of entities, relationships, and how they can support AI reasoning and information retrieval. Design architectures incorporating embedding models, vector databases, semantic search, and retrieval-based AI approaches. Design and integrate AI-powered chatbot and conversational interfaces. Develop mechanisms for source traceability, information verification, and reduction of AI hallucinations. Evaluate structured and unstructured data and determine the appropriate approach for preparing and making data available to AI systems. Design solutions that integrate ETL pipelines, batch processing, data lakes, and streaming data. Develop an understanding of data schemas and data models and how they support AI and data processing systems. Work with data ingestion and…