Platform Engineer – Agentic Ai & Harness Engineering

Kyndryl

Hybrid
5+ years platform engineering experience
Python software engineering depth
Kubernetes and container orchestration
The role focuses on building a product-like internal agent harness that turns foundation models into reliable, governed AI agents for mission-critical systems

Job Summary

  • The role focuses on building a product-like internal agent harness that turns foundation models into reliable, governed AI agents for mission-critical systems.
  • Success involves creating golden paths and reusable patterns so teams can ship agents safely while maintaining measurable productivity impact.
  • The company offers a flexible, supportive environment prioritizing well-being, along with access to cutting-edge learning opportunities and career growth resources.

Matching Summary

The role focuses on building a product-like internal agent harness that turns foundation models into reliable, governed AI agents for mission-critical systems.

Skills & Requirements

Must-have

  • 5+ years Platform Engineering experience
  • Python software engineering depth
  • Kubernetes and container orchestration
  • LLM agent failure detection and verification
  • Infrastructure as Code implementation
  • Cloud-native architecture (AWS/Azure/GCP)
  • Policy-as-code and human-in-the-loop oversight

Nice-to-have

  • Experience with LangGraph or CrewAI frameworks
  • Model Context Protocol (MCP) integration
  • Production use of AI-assisted development tools
  • Prior work on model-agnostic harnesses
  • Experience in regulated environments like finance
  • LLMOps and agent observability expertise

Key Requirements

  • 5+ years in Platform Engineering, DevOps, or SRE
  • Solid software engineering primarily in Python
  • Strong cloud-native background with Kubernetes
  • Professional working English and Spanish skills

Work Rights

Not specified

Tailored Resume

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