Description

You will design and oversee the data architecture supporting AI/ML workloads.

Responsibilities

• Assess potential AI use cases, evaluating feasibility, impact, and risk.
• Review AI project proposals, ensuring technical soundness in architecture, security, and data quality.
• Advise on data design to support scalable and secure AI/ML workloads.
• Identify and mitigate risks associated with AI projects, including bias and privacy concerns.
• Document technical findings and outline trends for future AI opportunities.

Required Skills

• 5+ years of experience in AI and data architecture management.
• Deep technical background in Artificial Intelligence and Machine Learning tools (e.g., Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, Google AI Studio).
• Expertise in cloud computing platforms (AWS, GCP).
• Proficiency with big data technologies including Snowflake, Redshift, and BigQuery.
• Strong knowledge of Data Architecture principles and Data Quality management.
• Experience applying Responsible AI principles and ethical considerations.
• Senior analytical and problem-solving abilities.
• Familiarity with Risk Management and Project Planning.

Key Skills

Education

Any Gradute