Cognitive Analytics Engineer

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Location Johnston, IA
Work Type On-site
Employment Type Full Time
Posted On June 22, 2026
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Job Description

At Corteva Agriscience, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.***Please note: there is no visa sponsorship provided for this role.We’re looking for a Cognitive Analytics Engineer to join our Artificial Intelligence in Breeding group. You’ll work at the intersection of agentic AI systems, simulation, and reinforcement learning — building and deploying the intelligent systems that enable breeding teams to optimize complex, multi-stage decisions through digital twin environments and AI-driven orchestration.This role is central to our cognitive analytics strategy: you’ll help build and deploy the agentic systems and digital twin environments that enable teams to seamlessly integrate simulation, reinforcement learning, and AI-powered decision tools into breeding pipelines and workflows. You’ll partner with scientists and engineering stakeholders to deploy these systems to our breeding teams across crops and geographies.Who You Are:You’re a systems-minded AI engineer who thinks natively in terms of agents, environments, and optimization. You’re comfortable building the infrastructure that makes agentic workflows reliable and scalable, and you have the theoretical grounding to reason about reinforcement learning formulations, simulation fidelity, and reward design. You thrive in collaborative, cross-disciplinary teams and can translate between ML research and production engineering.What You’ll Do:Build and maintain agentic AI systems that orchestrate analytics, simulation, and decision workflows for breeding pipelines, guiding solutions from prototype through production deploymentImplement and optimize digital twin components for use with agentic inference systems and reinforcement learning training pipelinesDev…

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