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The AI Engineer will design and implement AI solutions, particularly focusing on Retrieval-Augmented Generation systems, while collaborating with cross-functional teams to drive innovation in Generative AI.

Manage and deliver software and sustainment projects by coordinating internal teams and external vendors, defining scope, tracking timelines/budgets, mitigating risks, and ensuring quality and regulatory compliance.

Lead and mentor a QA team, defining QA strategy for UI, Mobile, API, and Performance testing, while promoting CI/CD practices and integrating performance benchmarks.

Lead design and implementation of scalable RAG pipelines and autonomous agent workflows; evaluate and integrate frontier LLMs; develop prompts, chains, and multi-agent systems; collaborate with product, data, and engineering to prototype and productionize AI solutions; ensure responsible AI practices, privacy, and compliance; communicate with stakeholders and clients.