Lead AI Platform Engineer

We are looking for aLead 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