Lead Specialist, AI Platform Engineering
On-siteJundiaí, São Paulo, Brazil
Job Summary
Define, build, and lead the evolution of AGCO's enterprise AI platform, applying systems thinking to accelerate machine learning and AI capabilities from smart farming systems to enterprise automation. Own the vision, roadmap, architecture, and governance of these platforms while designing scalable, secure, and reusable services for computer vision, GenAI, and ML workloads. Drive Infrastructure as Code, CI/CD, observability, and automation standards to improve reliability, security, and cost optimization. Partner with product, architecture, and business stakeholders to influence adoption and foster engineering excellence. Mentors engineers to deliver AI solutions that transform agriculture.
Required Qualifications
- 10+ years of experience in Platform Engineering and Cloud Infrastructure
- Proven Leadership in Cloud-Native Platform Architecture and Delivery
- 3+ years of experience with AI/ML Platforms and MLOps
- Deep Expertise in Kubernetes, Terraform, and CI/CD/GitOps
- Public Cloud and Platform Reliability Engineering
- GCP (preferred)
- AWS
- Azure
Desired Qualifications
- Experience building or operating an Internal Developer Platform (IDP) or platform-as-a-product
- Familiarity with MLOps practices, including model lifecycle management, monitoring, and retraining workflows
- Experience with hybrid or edge-to-cloud architectures
- Knowledge of IAM, policy-as-code, and enterprise security patterns
- Open-source contributions or cross-organizational technical leadership
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