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Enterprise Data & AI Architect
Job in
Torrance, Los Angeles County, California, 90504, USA
Listed on 2026-06-20
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
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 DescriptionWe 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
- 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
- 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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