About the job
Core
Designing and leading enterprise/next-gen system architectures for large-scale AI and complex domain projects, ensuring stability, performance, and scalability.
Role type
Senior AI Architect (Enterprise Systems)
Builds
Enterprise frameworks, common modules, deployment pipelines, and AI-integrated system architectures.
Domain
Enterprise Software, Cloud Native, AI/ML, Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise system architecture, Java/Spring ecosystem, Cloud platforms, Network & Security, DevOps, Containerization (Kubernetes), MSA, AI project leadership, Stakeholder collaboration
Preferred skills
Hybrid cloud (IaaS/PaaS/SaaS+On-Prem) experience, Big Data/Data Lake/AI-ML pipeline operations, Open source contributions, Performance troubleshooting, Global communication
Technologies
Java, Spring, Kubernetes, MSA, Cloud platforms, DevOps tools, AI frameworks
Responsibilities
Lead technical decisions across the full lifecycle (planning to operations), design common frameworks and standards, build deployment pipelines and monitoring systems, optimize performance/security issues, lead AI integration best practices, consult with clients and partners
Seniority
Senior, hands-on IC with strategic leadership