Lead AI Platform Engineer
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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
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