Agent Platform Engineer

Job summary

The Agent Platform Engineer role focuses on enabling enterprise AI strategy by building a reusable foundation for rapid deployment and governance of AI solutions across various business functions. Key responsibilities include developing solutions using Microsoft Azure, Copilot Studio, and AI orchestration frameworks, while ensuring scalable and secure deployment of AI capabilities that enhance decision-making and productivity.

Qualifications

• 3+ years building cloud-native applications, APIs, automation, data/AI solutions, or platform services
• Hands-on experience with Microsoft Azure, Python/TypeScript/C#, GitHub/Azure DevOps, CI/CD, API integration, telemetry, and secure development practices
• Experience in backend engineering tasks such as building token-based authorization frameworks and integrating enterprise-grade IAM solutions
• Software engineering depth in Python, C#, TypeScript/JavaScript, REST APIs, JSON, YAML, IaC, GitHub Actions/Azure DevOps, testing and observability
• Experience implementing reusable agent skills, action connectors, approval flows, eval tests, troubleshooting runtime and tool-call failures
• Product mindset, ownership, documentation, agile delivery, and ability to translate business needs into working agent capabilities

Responsibilities

• Build reusable foundation for rapid deployment and governance of AI solutions
• Establish agent platform, reusable skills, engineering standards, and deployment patterns
• Influence AI governance, scaling, and adoption across the enterprise
• Own full lifecycle from design and development to deployment and operational excellence
• Partner with senior leaders, architects, security teams, and business stakeholders

Skills

Degrees

Relocation