Mandatory Skill : Agentic AI,Langgraph,Symentic kernal,infra design,Azure Strong technical background with a degree in management or computer science, and proficiency in SQL and Python for data analytics.
At least 12+ years of experience building and managing enterprise-grade cloud infrastructure (AWS, Azure, GCP), with a focus on multi-tenant and multi-service architectures.
...
Deep understanding of AI orchestration, including data flow management, computational resource optimization, and coordination of multiple AI models.
Proven ability to implement robust security and access controls, including RBAC, network policies, and isolation techniques.
Experience with cost containment strategies for cloud-based AI deployments, including awareness of API call fees and Retrieval-Augmented Generation (RAG) training costs.
Foundational understanding of Agentic AI concepts and their application in enterprise environments.
Your Profile (nice to have): Background in technical service design.
Experience with web application deployment and container orchestration for AI/ML workloads.
Knowledge of deployment models (on-premise vs. public cloud) and their trade-offs.
Familiarity with audit logging and cost allocation in multi-tenant environments.
Awareness of the Agentic AI development lifecycle, including deployment automation and workflow optimization.
Consulting experience or a client-facing background in automation or infrastructure roles.
experience
15show more Mandatory Skill : Agentic AI,Langgraph,Symentic kernal,infra design,Azure Strong technical background with a degree in management or computer science, and proficiency in SQL and Python for data analytics.
At least 12+ years of experience building and managing enterprise-grade cloud infrastructure (AWS, Azure, GCP), with a focus on multi-tenant and multi-service architectures.
Deep understanding of AI orchestration, including data flow management, computational resource optimization, and coordination of multiple AI models.
Proven ability to implement robust security and access controls, including RBAC, network policies, and isolation techniques.
Experience with cost containment strategies for cloud-based AI deployments, including awareness of API call fees and Retrieval-Augmented Generation (RAG) training costs.
Foundational understanding of Agentic AI concepts and their application in enterprise environments.
Your Profile (nice to have): Background in technical service design.
Experience with web application deployment and container orchestration for AI/ML workloads.
Knowledge of deployment models (on-premise vs. public cloud) and their trade-offs.
...
Familiarity with audit logging and cost allocation in multi-tenant environments.
Awareness of the Agentic AI development lifecycle, including deployment automation and workflow optimization.
Consulting experience or a client-facing background in automation or infrastructure roles.
experience
15show more
