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Niche agentic AI skillset but general senior AI engineer title at a known enterprise.
High—role requires specialized agentic AI, enterprise integrations, governance, and platform engineering experience.
High due to senior platform expertise, mandatory AI frameworks, governance, and backend/cloud engineering requirements.
Design, develop, and maintain reusable AI frameworks, orchestration templates, and shared services to enable rapid delivery of enterprise AI solutions.
Develop and maintain secure, scalable enterprise integrations and APIs compatible with MCP ecosystem and cloud-native architectures.
Implement governance and compliance mechanisms including monitoring, auditability, and operational oversight to ensure responsible AI deployment.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field, or equivalent experience.
Experience in software architecture, backend development (Python and/or Node.js), and building reusable platforms and frameworks.
Experience delivering enterprise software solutions through the full software development lifecycle in Agile environments.
Strong knowledge of AI system architecture, agentic AI frameworks, governance, security, observability, and compliance principles.
Deep expertise in AI platform engineering with strong backend development and architecture skills, focusing on agentic AI and multi-agent systems.
Experienced in designing and implementing enterprise-grade integrations, cloud-native and event-driven architectures, and applying governance frameworks.
Operates well in large-scale enterprise environments, embraces modern Agile, DevSecOps, and CI/CD practices, and drives enablement through reusable accelerators and tooling.