Andy Mark

Own AI architecture and technical direction for LLM-powered platforms supporting multiple business domains. Designed agentic AI systems with tool orchestration, long-term memory, and human-in-the-loop governance. Established LLMOps standards including prompt versioning, automated evaluation, monitoring and cost controls. Defined cloud reference architectures for AI workloads, balancing performance, security and scalability. Acted as technical lead and advisor to stakeholders on AI feasibility, risk and roadmap planning.

Own AI architecture and technical direction for LLM-powered platforms supporting multiple business domains. Designed agentic AI systems with tool orchestration, long-term memory, and human-in-the-loop governance. Established LLMOps standards including prompt versioning, automated evaluation, monitoring and cost controls. Defined cloud reference architectures for AI workloads, balancing performance, security and scalability. Acted as technical lead and advisor to stakeholders on AI feasibility, risk and roadmap planning.

Architected and implemented LLM-driven document intelligence and knowledge retrieval systems adopted across the organization. Led modernization of ML platforms into API-first, cloud-native AI services. Introduced MLOps/LLMOps pipelines for training, deployment, versioning, and monitoring. Collaborated with security and compliance teams to ensure responsible and auditable AI usage. Served as go-to engineer for AI system design reviews and cross-team technical guidance.