Description

You will own the technical strategy and architectural integrity of AI/ML implementations across the organization.

Responsibilities

• Develop and implement a comprehensive AI strategy in collaboration with the Chief Data Officer.
• Assess potential AI use cases for feasibility, impact, and technical risk.
• Design scalable and secure data architectures to support AI/ML workloads.
• Review AI project architectures with a focus on security, privacy, data quality, and scalability.
• Evaluate new AI technologies and recommend solutions for specific use cases.

Required Skills

• 5+ years of experience in AI and machine learning.
• Bachelor's degree in Computer Science.
• Deep knowledge of AI/ML tools: Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, and Google AI Studio.
• Proficiency with cloud computing platforms including AWS and GCP.
• Experience with big data technologies such as Snowflake, Redshift, and BigQuery.
• Strong understanding of data architecture principles and management.
• Knowledge of responsible AI principles and ethical considerations.
• Ability to translate complex technical concepts for cross-functional teams.

Preferred Skills

• NIST AI Framework training or certification.

Key Skills

Education

Bachelor's degree in Computer Science