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Engineering Manager - AI Solutions - John Deere
Engineering Manager
Lead a high‑performing AI engineering team, driving end‑to‑end development of scalable machine‑learning solutions on AWS. Own product roadmaps, mentor engineers, and ensure delivery of robust, production‑ready models that support global agricultural and infrastructure challenges.
About the role
Key Responsibilities
- Lead and mentor a cross‑functional team of data scientists and software engineers to design, build, and deploy AI models at scale.
- Own the technical roadmap for AI solutions, translating business needs into robust, production‑ready systems on AWS.
- Drive best practices in CI/CD, automated testing, and observability for ML pipelines and microservices.
- Collaborate with product, data, and infrastructure teams to ensure seamless integration and continuous delivery.
- Champion Agile methodologies, facilitating sprint planning, retrospectives, and knowledge sharing.
Requirements
- 5+ years of engineering leadership in AI/ML environments.
- Strong hands‑on experience with Python, TensorFlow/PyTorch, and AWS services (SageMaker, ECS, EKS).
- Proven track record of deploying scalable ML pipelines using Kubernetes and CI/CD tools.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
- Passion for solving large‑scale, real‑world problems and a collaborative mindset.
Skills
pythonmachine learningawskubernetescicdagile