AIML Architect
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Job Location:
Torrance, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
