Enterprise GenAI, LLM Evaluation & AI Governance — Dublin
I build production GenAI systems for regulated environments: RAG, agents, evaluation, observability, security controls, data architecture, and AI governance.
Best fit roles: Applied AI Architect · GenAI Solutions Architect · LLM Evaluation Lead · AI Governance Engineering Lead · Regulated AI Deployment Lead · Public Sector AI Lead
Dublin-based Applied AI and GenAI systems leader. Experience across Accenture, NSF, federal AI delivery, and production GenAI systems. Available for senior IC and lead roles across regulated GenAI, LLM evaluation, RAG/agents, AI governance, and applied AI architecture.
Case studies
Built greenfield AI governance, technical-review, security, community, and data-architecture foundations inside NSF's newly formed Chief AI Officer function. Owned AI use-case intake improvements, created risk-classification and technical-review patterns, created an AI deployment playbook, co-chaired a 100+ member AI Community of Practice, served as a voting engineering review board member for AI systems, ran AI security tabletop exercises, supported Microsoft Copilot rollout, architected a production vector/graph capability for research-impact intelligence, and liaised with NASA, DOE, NAIRR stakeholders, and other federal partners.
AI Governance · Responsible AI · Public Sector AI · Technical Review · Vector + Graph Architecture · AI Security Table-Tops · Interagency Coordination
Production-grade ML cost optimization: model selection, batching, caching, cold-start mitigation, inference routing, and observability — applied to live LLM-backed workloads under regulated SLAs.
LLMOps · Cost Optimization · Inference Routing · Observability · Production AI
Public model-readiness benchmark for regulated enterprise AI, evaluating capability, reliability, governance behavior, groundedness, security reasoning, cost, and latency.
LLM Evaluation · Model Readiness · RAG Groundedness · AI Governance · Cost / Latency
Evaluation research comparing microagent atomic policy checks with monolithic auditing across 193 service contracts and 7,913 labeled policy checks.
Contract Compliance · Microagents · Token-Level Calibration · AI Governance
About
Applied AI architect with delivery experience across Accenture (commercial), NSF (federal AI oversight, GS-15 Lead Data Scientist), and independent production GenAI systems. Focus areas: regulated enterprise AI deployment, RAG and agentic systems, LLM evaluation pipelines, AI observability, prompt-injection and tool-use security, and AI governance operating models. Currently based in Dublin, Ireland, available for senior IC and lead roles across EMEA.