Senior AI Platform Engineer

We are seeking aSenior 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