AI Architect
Core
Designing, refining, and implementing end-to-end AI and Agentic AI architectures that align business objectives with technical excellence for enterprise systems.
Role type
Senior AI Architect (Agentic AI & Enterprise Systems)
Builds
Scalable, secure, and maintainable AI solutions integrating foundation models, agents, and data platforms.
Domain
Enterprise AI, Agentic AI, Cloud Infrastructure, MLOps
Deliverable
production ML models | product features | infrastructure
Required skills
AI/ML architecture design, Agentic AI frameworks, Cloud ecosystem expertise, MLOps tools, Container orchestration, RAG architectures, Data privacy frameworks
Preferred skills
Modular/scalable architecture design, Hybrid/federated AI deployments, Observability practices, Semantic search/Knowledge graphs, Agile/DevOps collaboration
Technologies
Azure ML, Vertex AI, OpenShift AI, MLflow, Kubeflow, Airflow, Kubernetes, Docker, LangChain, CrewAI, AutoGen, LlamaIndex
Responsibilities
Design end-to-end AI and Agentic AI architectures; Transform requirements into efficient system designs; Define architecture patterns for AI agents, foundation models, and cloud infrastructure; Collaborate with cross-functional teams on scalability and security; Create reference architectures and reusable components; Evaluate emerging AI technologies; Ensure integration with existing enterprise systems; Champion responsible AI and secure-by-design principles.
Seniority
Senior, hands-on IC
