Sr Specialist, AI Platform Engineering
At a glance
Senior ML Platform & Ops role at AGCO. Jundiai.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build reusable, secure platform services that let teams develop and deploy AI capabilities across the enterprise
- Set up container-based training, distributed computing, experiment tracking, artifact storage and model deployment
- Make AI workflows repeatable across cloud, on-premises and hybrid setups
- Create templates, pipelines, environments and documentation that help teams deliver AI work faster
- Maintain delivery automation, infrastructure as code and observability for production AI systems
What you bring
- At least eight years in software, platform or infrastructure engineering, including three years supporting data- or AI-heavy systems
- You have designed and run systems on GCP or AWS, with GCP preferred
- Strong programming ability in Python, Go or JavaScript, plus experience building dependable production services
- You understand containers, Kubernetes, infrastructure as code and secure, observable distributed systems
- Hands-on work with data or ML workflows and CI/CD, Git-based development, monitoring and logging
Who this fits
This senior role suits an experienced platform or infrastructure engineer who can support AI teams and build production-ready services. You’ll work across cloud infrastructure, DevOps and AI engineering, partnering with AI, data, security and architecture teams. The role is based in Jundiai, Brazil.
From the employer
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.
Join our extraordinary team today and apply now!