Sr Specialist, AI Platform Engineering

AGCO Corporation; Jundiaí; Presencial; BRL 260 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental assistance

Private pension

Meal vouchers

Life insurance

PROPAR

Others

Resumo da oferta

AGCO Corporation is seeking an experienced Platform Engineer to lead the design and development of reusable, secure platform services powering AI across the enterprise. You will enable training, deployment, and observability of ML workloads, working across cloud and on‑prem environments to accelerate AI delivery.

You will operate at the intersection of cloud, DevOps, and AI engineering, building an internal platform that empowers data scientists and engineers to experiment faster and deploy more

Qualificações

• 8+ years of experience in software, platform, or infrastructure engineering, with 3+ years in data or AI-intensive systems.
• Strong experience designing and operating systems on GCP or AWS (GCP preferred).
• Strong programming skills in Python, Go, or JavaScript, with production-grade services experience.
• Deep understanding of containers, Kubernetes, and infrastructure-as-code (Terraform or similar).
• Experience with data and ML workflows (Spark, Airflow, Kubeflow, Vertex AI, or similar).
• Strong CI/CD, Git workflows, monitoring, logging, and operational best practices.

Responsabilidades

• Lead design and development of reusable, secure, and scalable platform services enabling AI innovation at scale.
• Enable containerized training, distributed computing, and model deployment across cloud, on-premises, and hybrid environments.
• Create templates, pipelines, environments, and documentation to accelerate AI delivery.
• Implement and maintain CI/CD, IaC, automation, and observability for production AI systems.
• Collaborate with AI, data, security, and architecture teams to deliver platform capabilities and roadmap.

Conhecimentos

Python

Go

JavaScript

CI/CD

Observability

Security

Ferramentas

Kubernetes

Terraform

Spark

Airflow

Kubeflow

Vertex AI

GCP

AWS

Descrição da oferta de emprego

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world.

Join our extraordinary team today!

The professional is responsible to lead the design and development of reusable, secure, and scalable platform services that enable AI innovation across the enterprise. You’ll apply your systems thinking and deep software engineering expertise to accelerate the development and deployment of machine learning and AI capabilities at scale, from smart farming systems to enterprise automation.

You’ll be part of a high-impact team creating an internal developer platform purpose-built for computer vision, GenAI, machine learning workloads. Your work will empower data scientists and engineers to experiment faster, deploy more reliably, and deliver AI solutions that transform agriculture.

You will operate at the intersection of cloud infrastructure, DevOps, and AI engineering, helping turn AI from a collection of projects into a repeatable, enterprise-grade capability.

Your Impact

• Enable containerized training, distributed computing, experiment tracking, artifact management, and model deployment.
• Support reliable, reproducible AI workflows across cloud, on-premises, and hybrid environments.
• Create reusable templates, pipelines, environments, and documentation that accelerate AI delivery.
• Implement and maintain CI/CD, Infrastructure as Code (IaC), automation, and observability for production AI systems.
• Partner with AI, data, security, and architecture teams to deliver platform capabilities, drive operational excellence, and shape the AI platform roadmap.

Your Experience & Qualifications

Must-Have

• 8+ years of experience in software, platform, or infrastructure engineering, including 3+ years supporting data or AI-intensive systems.
• Strong experience designing and operating systems on GCP or AWS (GCP preferred).
• Strong programming skills in Python, Go, or JavaScript, with experience building reliable, production-grade services.
• Deep understanding of containers, Kubernetes, and infrastructure-as-code (Terraform or similar).
• Experience designing secure, observable, and resilient distributed systems.
• Hands-on experience with data and ML workflows (e.g., Spark, Airflow, Kubeflow, Vertex AI, or similar).
• Strong grasp of CI/CD, Git-based workflows, monitoring/logging, and operational best practices.

Nice-to-Have

• 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.

Your Benefits

• Medical and dental assistance;
• Private pension;
• Meal vouchers;
• Life insurance;
• PROPAR
• Others.

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.