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Lead applied ML efforts to embed LLMs and agentic workflows into production, focusing on anti-fraud, automated evaluation, and operational automation. Design reusable architectures, implement observability and A/B tests, partner with delivery and clients, and set engineering standards for prompts, agents, pipelines, and CI/CD.

Serve as the senior client-facing technical lead to design and build data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders, diagnose data needs, architect multi-stage automated solutions (RAG, agentic workflows, synthetic data), run experiments, deliver production-ready pipelines, mentor engineers, and own delivery timelines and commercial outcomes.

Serve as a senior client-facing technical lead who designs and builds data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders to diagnose needs, propose data strategies, architect multi-stage automated pipelines (including RAG, synthetic data, agentic systems), deliver solutions end-to-end, and own commercial outcomes and expansion opportunities.