AI Architect (Agentic AI)
Core
Design and evolution of end-to-end AI and Agentic AI architectures that enable innovation at enterprise scale.
Role type
Senior AI Architect (Agentic AI)
Builds
Generative and Agentic AI architectures for enterprise delivery teams
Domain
Enterprise AI, Cloud-native solutions, Distributed systems
Deliverable
production ML models
Required skills
Large-scale AI/ML architecture design, End-to-end AI system governance, Multi-agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK), RAG architectures (LangChain, LlamaIndex), Cloud platforms (Azure ML, Vertex AI, OpenShift AI, Databricks), MLOps frameworks (MLflow, Kubeflow, Airflow), Technical leadership
Preferred skills
Edge AI or on-premise AI deployments in regulated industries, Advanced studies (Master's or PhD) in AI/ML/Cloud Architecture, Professional cloud/MLOps certifications
Technologies
LangGraph, CrewAI, AutoGen, Google ADK, LangChain, LlamaIndex, Azure ML, Vertex AI, OpenShift AI, Databricks, MLflow, Kubeflow, Airflow
Responsibilities
Design end-to-end AI and Agentic AI architectures, Shape AI strategy translating objectives into coherent architectures, Act as technical authority ensuring quality, scalability, and security, Guide multidisciplinary teams toward architectural excellence, Bridge business strategy and technology alignment, Foster culture of technical rigor and responsible AI
Seniority
Senior, hands-on IC with strategic direction
