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Enterprise Data & AI Architect

Job in Torrance, Los Angeles County, California, 90504, USA
Listing for: Kanshe Infotech
Contract position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), AWS, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 | Sage Maker | 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
  • Sage Maker
  • Redshift
  • Glue
  • Bedrock
  • EKS
  • Experience with Snowflake, Databricks, or Apache Spark
  • Hands‑on experience with AI/ML frameworks such as PyTorch, Tensor Flow, or Lang Chain
  • Strong knowledge of Data Lakehouse, Data Mesh, and Enterprise Data Architecture
  • Experience with Infrastructure as Code (Terraform or AWS Cloud Formation)
  • 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
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