AIML Architect ( Snowflake, ETL, AWS Databricks, AIML)
Job Location:
Torrance, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Role - AI/ML Architect ( Snowflake ETL AWS Databricks AI/ML )
In person Interview
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.
Thanks and Regards
Akash
