Description

You will architect and guide data-driven AI initiatives within the public sector.

Responsibilities

• Assess potential AI use cases, evaluating feasibility, impact, and associated risks.
• Evaluate AI project proposals for technical soundness, focusing on architecture, security, privacy, and scalability.
• Identify and mitigate risks related to AI projects, including algorithmic bias and data privacy.
• Advise cross-functional teams on technical and ethical considerations for AI implementation.
• Prepare technical reports summarizing project reviews and outlining use case trends.

Required Skills

• 10+ years of experience in AI and data architecture management.
• Deep technical background in AI/ML tools and models, including Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, and Google AI Studio.
• Proficiency with cloud computing platforms, specifically AWS and GCP.
• Experience with big data technologies such as Snowflake, Redshift, and BigQuery.
• Strong knowledge of data architecture principles and data quality assurance.
• Familiarity with responsible AI principles and ethical considerations.
• Proven ability to translate complex technical concepts to diverse, cross-functional audiences.
• Senior analytical and problem-solving capabilities.

Preferred Skills

• NIST AI Framework training or certification.

Key Skills

Education

Any Graduate