Architect and deliver enterprise AI platforms across model providers and cloud ecosystems, setting standards for LLMOps, security, reliability, and cost governance. Lead multiple engineering teams, guide model strategy and enterprise deployments, and partner with clients and pursuit teams to shape major AI solutions. Requires at least 10 years of software or AI/ML engineering experience, including architecture leadership, plus substantial experience delivering enterprise AI platforms, LLMOps/MLOps, multi-cloud architecture, and leading engineering teams. Candidates also need experience in AI security, governance, and cost optimization, at least one year serving utilities clients or working in a related utilities function, and a bachelor’s degree or equivalent experience.
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