Design and prototype AI-powered products using LLMs, RAG, AI agents, Python, SQL, and APIs. Partner with clients and stakeholders to identify use cases, redesign workflows, define product requirements, prioritize features, and guide solutions through implementation. Collaborate with engineering, design, and business teams, facilitate workshops, evaluate product performance, gather feedback, and improve usability, accuracy, efficiency, and business impact.

Designs and delivers enterprise-scale generative and agentic AI architectures, including foundation-model integrations, scalable solution patterns, cloud-native infrastructure, MLOps pipelines, orchestration, and production systems. The role aligns AI technology with business objectives, mentors colleagues, collaborates across teams, and contributes to thought leadership. Candidates need extensive software architecture and AI/ML experience, strong generative AI expertise, Python proficiency, and cloud-platform experience. The position is hybrid, requiring three office days weekly in New York or Orlando.

Lead design and delivery of enterprise semantic-data solutions and knowledge graphs, integrating structured and unstructured data for AI/ML and analytics. Build semantic pipelines, graph-backed services, and integrations (Python/Java), support NLP/embedding use cases, evaluate platforms, define governance/quality controls, run workshops, mentor teams, and drive prototypes through production for regulated clients.