Cognitive Analytics Engineer

Job Details

Job Title:

Cognitive Analytics Engineer

Location:

Johnston, IA, Midwest United States, USA

Company:

Corteva

Industry Sector:

Agribusiness

Industry Type:

Chemical, Pesticide and Fertilizer

Career Type:

Researcher/Research & Development

Job Type:

Full Time

Minimum Years Experience Required:

N/A

Salary:

Competitive

Get Job Alerts

Criteria:

Career Type: Researcher/Research & Development

Country: USA

Notify me of jobs like this

I agree to receive alerts from AgCareers.com and to the Terms of Service.

Cognitive Analytics Engineer

Follow Company

More Jobs from Cortev...

Send to Friend

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 deployment

Implement and optimize digital twin components for use with agentic inference systems and reinforcement learning training pipelines

Develop and train reinforcement learning agents that optimize breeding pipeline strategy

Collaborate with scientists and domain experts to address breeding challenges with agentic-driven solutions leveraging simulation and deterministic optimization

Architect for scale and deployment distributed training, efficient orchestration, and production-grade reliability of AI systems

What Skills You Need:

Master's degree in computer science, machine learning, or a related field (or equivalent practical experience), with 3-5 years of relevant experience

Strong Python skills with computational and scientific libraries

Experience with deep learning frameworks (e.g. PyTorch, JAX)

Experience with reinforcement learning frameworks and theory

Experience with simulation environments or digital twin systems

Experience with deployment of orchestrated agents and associated components (e.g. MCP, ACP)

Experience with distributed training and efficient AI orchestration

Strong communication skills able to bridge AI/ML concepts with domain scientists and cross-functional teams

Experience with Linux and Docker

What Makes You Stand Out:

Experience with LLM-based agent architectures, tool-use orchestration, or multi-agent systems

Experience designing or building custom reinforcement learning environments for real-world decision problems

AWS/Kubernetes experience

Experience with compiled languages (e.g. C++, Rust) for performance optimization

Background in plant breeding, genetics, agriculture, or related domains candidates with reinforcement learning and simulation backgrounds in other complex decision domains (robotics, operations research, autonomous systems) are encouraged to apply

Benefits - How We'll Support You:

Numerous development opportunities offered to build your skills

Be part of a company with a higher purpose and contribute to making the world a better place

Health benefits for you and your family on your first day of employment

Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays

Excellent parental leave which includes a minimum of 16 weeks for mother and father

Future planning with our competitive retirement savings plan and tuition reimbursement program

Learn more about our total rewards package here - Corteva Benefits

Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Job Post Date: 05/14/26