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Enterprise Data & AI Architect

Job

Kanshe Infotech

Torrance, CA (In Person)

Full-Time

Posted 3 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/13/2026

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Job Description

Job Title:
Enterprise Data & AI Architect.
Location:
Torrance, CA (Onsite)
Job Type:
Contract Top Skills:
AWS Cloud | AI/ML Architecture | Generative AI | Data Lakehouse | Snowflake/Databricks | SageMaker | Bedrock | Terraform | Data Mesh |
Enterprise Data Architecture Job Description:
We are seeking an experienced Enterprise Data & AI Architect to lead enterprise Data and AI initiatives from strategy and design through deployment. The ideal candidate will have strong expertise in AWS Cloud, AI/ML solutions, modern data architectures, and large-scale analytics platforms.
Key Responsibilities:
Design and implement enterprise Data and AI architecture solutions Build scalable AI/ML platforms supporting LLMs, Generative AI, and predictive analytics Lead AWS cloud architecture, governance, security, and cost optimization initiatives Design modern Data Lakehouse and Data Mesh architectures Build and optimize real-time data analytics and reporting platforms Implement AI governance, security, and data privacy best practices Drive AI projects from Proof of Concept (PoC) to enterprise production deployment Collaborate with business, data engineering, and cloud teams to define long-term AI and data strategies
Required Skills:
Strong experience with AWS services: S3 SageMaker Redshift Glue Bedrock EKS Experience with Snowflake, Databricks, or Apache Spark Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or LangChain Strong knowledge of Data Lakehouse, Data Mesh, and Enterprise Data Architecture Experience with Infrastructure as Code (Terraform or AWS CloudFormation) Strong understanding of AWS Security, IAM, and Governance best practices
Preferred Qualifications:
AWS Certified Solutions Architect Professional or AWS Certified Data Engineer Experience handling large-scale data platforms and complex ETL/ELT pipelines Experience deploying enterprise-scale Generative AI solutions Experience moving AI initiatives from PoC to production