Description

You will design and implement data architectures and AI-powered solutions for public sector clients.

Responsibilities

• Design and implement scalable, secure data architectures to support AI and client workloads.
• Evaluate the technical soundness of AI proposals, focusing on architecture, security, privacy, and scalability.
• Identify and mitigate risks related to data privacy, algorithmic bias, and potential misuse of AI.
• Collaborate with the Chief Data Officer and cross-functional teams to develop AI strategies and use case roadmaps.
• Prepare technical reports summarizing project reviews and emerging use case trends.

Required Skills

• 5+ years of experience in AI and data architecture and management.
• Deep knowledge of AI/client tools such as Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, or Google AI Studio.
• Hands-on experience with cloud computing platforms including AWS and GCP.
• Proficiency with big data technologies including Snowflake, Redshift, and BigQuery.
• Strong understanding of data architecture principles and big data management.
• Knowledge of responsible AI principles and ethical considerations.
• Ability to translate complex technical concepts for diverse, cross-functional audiences.

Preferred Skills

• NIST AI Framework training or certification.

Key Skills

Education

Any Graduate