Sr Specialist, AI Platform Engineering

AGCO; Jundiaí; Presencial; BRL 300 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental

Life Insurance

PROPAR

Others

Resumo da oferta

AGCO in Jundiaí, Brazil, is hiring a Senior Platform Engineer to design and deliver reusable, secure platform services that enable AI innovation across the enterprise. You will work at the intersection of cloud, DevOps, and AI engineering to accelerate ML deployment and scale AI initiatives in agriculture.

You will build templates, pipelines, and IaC, ensure observability, and collaborate with data, security, and architecture teams to shape the AI platform roadmap.

Qualificações

• 8+ years in software/platform/infrastructure engineering.
• Experience designing and operating systems on GCP or AWS.
• Deep understanding of containers, Kubernetes, and IaC.
• Hands-on with data/ML workflows (Spark, Airflow, Kubeflow).
• Strong CI/CD, Git workflows, monitoring, and ops practices.

Responsabilidades

• Lead design and development of reusable platform services for AI.
• Enable containerized training, distributed computing, and model deployment.
• Support reliable AI workflows across cloud, on-premises, and hybrid.
• Create templates, pipelines, environments, and docs to speed AI delivery.
• Partner with AI, data, security, and architecture teams to set platform roadmap.

Conhecimentos

Software engineering

AI/ML workflows

CI/CD

Distributed systems

Cloud platforms

Ferramentas

Kubernetes

Terraform

Kubeflow

Airflow

Vertex AI

Descrição da oferta de emprego

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Date: Aug 18, 2026

Location: Jundiai, SP, BR

Workplace Type: Onsite

Employment Duration: Permanent

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).
• 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.
• Medical and dental assistance;
• 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.

Job Segment:

Cloud, Open Source, Sustainable Agriculture, Software Engineer, Agricultural, Technology, Agriculture, Engineering

AGCO is a global leader in design, manufacture and distribution of agricultural machinery and precision technology. AGCO delivers value to farmers and OEM customers through its differentiated brand portfolio including leading brands like Fendt®, Massey Ferguson®, PTx and Valtra®. AGCO's full line of equipment, smart farming solutions and services helps farmers sustainably feed our world.