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Lead AI Platform Engineer

Remote in Mexico, & 2 others
AI Solution Engineering& 14 others
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We are looking for a Lead AI Platform Engineer to build an enterprise AI platform that connects users with AI agents, workflows, and core systems through secure, scalable integrations. You will lead hands-on delivery of Azure-hosted agent solutions, middleware, and evaluation loops while partnering with cross-functional stakeholders.

Responsibilities
  • Design enterprise AI solutions on Microsoft Azure to support agent-based experiences
  • Build integrations between AI agents and enterprise systems using Model Context Protocol patterns
  • Develop middleware services and APIs that connect applications to AI platforms
  • Implement secure integration patterns aligned with enterprise authentication and security standards
  • Create agent capabilities using modern AI agent development approaches and tooling
  • Build evaluation frameworks, feedback loops, and automation to improve agent quality
  • Deploy and operate cloud-native workloads on Azure with reliability and scalability in mind
  • Partner with architects, platform teams, security teams, and product stakeholders to deliver production-ready solutions
  • Lead technical decisions, review code, and enforce engineering quality standards
  • Coach and mentor engineers to raise team capability and delivery throughput
Requirements
  • 5+ years of software engineering experience
  • Experience designing and delivering distributed systems
  • Lead-level ownership and mentoring experience in delivery teams
  • Strong project execution skills in fast-changing requirements
  • Advanced Python skills for production services and automation
  • Strong Microsoft Azure skills for cloud-native solution delivery
  • Strong integration skills across APIs, middleware, and orchestration layers
  • Strong security knowledge covering authentication and enterprise integration patterns
  • Excellent communication skills with senior technical stakeholders
  • Upper-Intermediate English (B2) proficiency, both written and spoken
Nice to have
  • Kubernetes experience for running and scaling containerized workloads
  • Containers & Orchestration platforms experience in enterprise environments
  • APIs and Integration experience across complex enterprise systems
  • Microsoft Agent Framework experience for building agent solutions
  • Terraform Cloud experience for infrastructure automation and governance