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AgcocorpPosted 1 month ago

Sr Specialist, AI Platform Engineering

On-siteJundiaí, São Paulo, Brazil

Full TimeSenior LevelEnterprise

Job Summary

Design and develop reusable, secure, and scalable platform services enabling AI innovation across the enterprise. Lead the creation of an internal developer platform purpose-built for computer vision, GenAI, and machine learning workloads. Enable containerized training, distributed computing, experiment tracking, artifact management, and model deployment while supporting reliable, reproducible workflows across cloud, on-premises, and hybrid environments. Create reusable templates, pipelines, environments, and documentation to accelerate AI delivery. Implement and maintain CI/CD, Infrastructure as Code, automation, and observability for production AI systems. Partner with AI, data, security, and architecture teams to deliver platform capabilities and shape the AI platform roadmap.

Required Qualifications

  • 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
  • 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

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
  • GCP

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