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AI/ML Architect

Torrance, CA, US • Posted 1 day ago • Updated 1 day ago

Full Time

On-site

Fitment

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Job Details

Skills

JD
Ideation
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Predictive Analytics
Virtual Private Cloud
Optimization
Real-time
Business Intelligence
Decision-making
Privacy
Cloud Computing
Amazon S3
Amazon SageMaker
Amazon Redshift
Snow Flake Schema
Databricks
Apache Spark
Data Processing
PyTorch
TensorFlow
LangChain
Workflow
Terraform
Amazon Web Services
Analytics
Extract
Transform
Load
ELT
Artificial Intelligence
POC

Summary

Role - Data Architect with AWS and AI/ML

Location - Torrance, CA

JD -

Enterprise Data and AI Architect to drive the Data and AI initiatives from ideation , design and deployment.

Key Responsibilities: AI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics. AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps). Data Mesh & Analytics: Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making. AI Ethics & Security: Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.

Required Skills: Cloud Platform: Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS). Data Frameworks: Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing. AI Frameworks: Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows. Automation: Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.

Preferred Qualifications: AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect Professional or AWS Certified Data Engineer). Analytics Background: Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes. AI Integration: Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91133039
Position Id: 2026-964
Posted 1 day ago

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