The following requirement is open with our client.
Title : AI/ML Ops Enterprise Architect
Location : Woodland Hills, CA ( Remote)
Duration : 6 Months
Rate : $57/ Hr on W2
Relevant Experience : 8+
Job Description:
We are seeking an experienced AI/ML Ops Enterprise Architect to architect and implement scalable AWS ML/AI infrastructure within a multi-tenant SaaS environment. The candidate will lead MLOps architecture, ML/AI pipelines, Kubernetes platforms, cloud infrastructure, enterprise integrations, and AI strategy while guiding technical teams on best practices.
· AWS ML/AI – Scalable cloud infrastructure and ML platforms
· MLOps – SageMaker, Vertex AI, Databricks
· Kubernetes – ML/AI cluster management and containerization
· Apache Airflow / Kubeflow – ML and data pipeline orchestration
· Argo CD / Argo Workflows – Infrastructure and workflow automation
· GenAI / LLMs – OpenAI, Gemini, and enterprise AI solutions
· Agentic AI – LangGraph, AutoGen, Google ADK
· Data Architecture – Data Mesh, Data Products, scalable architectures
· AWS Data Platforms – Snowflake, Redshift, BigQuery
· API Orchestration – MuleSoft, Google Cloud API
· Enterprise Integration – Guidewire, Salesforce
Must-Have Skills:
• AWS ML/AI & MLOps
• Kubernetes / Airflow / Kubeflow
• Enterprise Architecture
• GenAI / Agentic AI
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