Back to SearchSenior AI Platform Engineer
Remote in Brazil, & 2 others
AI Solution Engineering& 13 others
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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