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Tier-1 employer with mid-level experience and likely metro hiring increases candidate competition moderately.
Requires specialized Generative AI research and production experience, limiting easy cross-industry transfers.
Explicit 5+ years plus mandatory Generative AI, RAG, deployment and cloud skills make filters strict.
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Research and develop advanced Generative AI solutions across the energy value chain, including RAG, Agents, and LangGraph techniques.
Translate AI research into scalable, production-ready AI/ML solutions for broad business application.
Lead AI/ML initiatives company-wide by facilitating trainings and collaborating with global, multidisciplinary teams and external partners.
5+ years of professional experience with deep knowledge in Generative AI and related frameworks like Retrieval-Augmented Generation, Agents, or LangGraph.
Degree in Computer Science, Mathematics, Physics, Engineering, or a related field (or equivalent experience).
Strong proficiency in Python and experience with solution deployment and cloud computing environments.
Fluency in English; remote working up to 1-2 days/week available.
Experienced in both AI research and hands-on implementation with the ability to build scalable production solutions.
Able to operate effectively in multinational, multidisciplinary teams and communicate technical concepts to diverse stakeholders.
Has a strategic focus on applying Generative AI innovations to drive data-driven business decisions across complex global environments.