Data Architect (Data, AI & AWS)

Job Title: Enterprise Architect (Data, AI & AWS) / Data Architect (Data, AI & AWS) Location: Torrance, CA (Hybrid) Note: Need someone who can take face to face interview at Torrance, CA Description: • Bachelor's degree in Computer science or equivalent, • Strong experience in Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics. • Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps). • Proven expertise in enterprise integration architecture using MuleSoft or equivalent middleware (REST/SOAP APIs, event-driven architecture, middleware patterns) • Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making. • Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed. • Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes. • Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production. • Preferred to have proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS). • Preferred to have experience with Snowflake, Databricks, or Apache Spark for large-scale data processing. • Preferred to have background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation. • Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows • AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer). • Excellent problem-solving, communication, and stakeholder management skills. • Ability to lead technical discussions, architecture reviews, and cross-functional initiatives. Looking forward for your reply.