Enterprise Data & AI Architect

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