Senior AI Platform Engineer

EPAM·Colombia, Mexico, Brazil·Удалённо·сегодня

We are seeking a Senior AI Platform Engineer to design and deliver scalable AI agent solutions, integrations, and middleware services on Microsoft Azure. You will collaborate closely with cross-functional stakeholders, lead by example through hands-on engineering, and help evolve enterprise-grade agent ecosystems.

Responsibilities

  • Design enterprise AI solutions within the Microsoft ecosystem
  • Build integrations between AI agents and enterprise systems using Model Context Protocol patterns
  • Develop services, APIs, and orchestration layers that connect applications to agent experiences
  • Implement secure, scalable integration patterns aligned with enterprise authentication standards
  • Create and extend AI agent capabilities using modern Microsoft agent technologies
  • Build feedback loops, evaluation frameworks, and automation to improve agent quality
  • Develop and maintain Azure-hosted cloud-native workloads
  • Partner with architects, platform teams, security teams, and product stakeholders to ship production capabilities
  • Coach junior engineers and provide technical leadership within the delivery team
  • Adapt to changing requirements and execute quickly while maintaining engineering quality

Requirements

  • 3+ years of software engineering experience
  • Strong project ownership skills driving solutions from ambiguity to delivery
  • Advanced Python development skills for production systems
  • Strong Microsoft Azure experience building cloud-native services
  • Hands-on API and middleware development experience for enterprise integrations
  • Strong security and authentication knowledge for enterprise integration patterns
  • Strong communication skills working with senior technical stakeholders
  • Collaborative teamwork skills in fast-paced engineering environments
  • Availability skills to support significant overlap with U.S. Eastern Time
  • English proficiency level B2 (Upper-Intermediate)

Nice to have

  • APIs and Integration experience across enterprise systems
  • Containers & Orchestration platforms experience for cloud-native deployments
  • Kubernetes experience operating production workloads
  • Microsoft Agent 365 experience building enterprise agent experiences
  • Terraform Cloud experience for infrastructure automation

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