AI Application Governance Specialist

Overview:

The role of AI Applications Engineer – SME is a critical position within our organization, where you will be responsible for driving the strategic implementation and governance of AI tools such as Google Gemini, OpenAI, and Anthropic.

Key Responsibilities:

• Data Privacy Controls: Configure and manage data privacy controls to prevent the training of AI models on sensitive data and enforce zero-retention policies.
• Audit Logs and Compliance Reporting: Deliver comprehensive audit logs, compliance reporting, and monitoring for OpenAI usage to ensure adherence to regulatory standards.
• Guardrails and Moderation Tools: Implement robust guardrails and moderation tools, including fine-tuned safety layers, to enhance the security and reliability of AI applications.
• Model Performance and Usage Metrics: Track and analyze model performance and usage metrics, producing regular reports for leadership to inform strategic decisions.
• Prompt Engineering: Optimize prompt engineering and evaluate cost/performance trade-offs, such as comparing GPT-4 and GPT-4o mini, to maximize efficiency and effectiveness.
• Troubleshooting and Technical Support: Troubleshoot and resolve technical issues related to API calls, latency, and integration failures, ensuring seamless operation of AI tools.
• Internal Admin Guide and Knowledge Sharing: Maintain a detailed internal admin guide with setup/configuration steps, governance rules, and best practices for AI tool management.
• Training Sessions and Knowledge Development: Develop and maintain knowledge bases and wikis for developers and end users to facilitate knowledge sharing and skill development.
• Escalation Point and Incident Management: Serve as the Tier 3 escalation point for OpenAI-related incidents, providing expert-level support and resolution.
• Collaboration and Cross-Functional Teamwork: Collaborate with security, compliance, and engineering teams to expand the safe and responsible use of AI tools across the organization.

Deliverables and Qualifications:

• Subject Matter Expertise: Serve as the Subject Matter Expert (SME) for AI tools and oversee their overall governance.
• Issue Resolution and Data Security: Address and resolve issues related to the Default Project space, ensuring optimal functionality.
• Security and Risk Mitigation: Ensure the security of the AI environment and its data by mitigating open business risks.
• Enabling AI Capabilities: Enable AI tool functionalities for third-party applications, starting with a general introduction and expanding capabilities as needed.

Required Skills and Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.
• Experience: 5-8 years of experience in AI applications engineering or a related role.
• Proficiency in AI Tools: Demonstrated proficiency in AI tools, particularly Google Gemini, OpenAI, and Anthropic.
• Data Privacy and Compliance: Strong understanding of data privacy controls and compliance requirements.
• Configuring AI Environments: Experience in configuring and managing AI tool environments securely and effectively.
• Problem-Solving and Communication: Excellent problem-solving and troubleshooting skills, with the ability to handle complex technical issues, and strong communication and collaboration skills, with experience delivering training and creating documentation.

Tools and Technologies:

• Google Gemini
• OpenAI
• Anthropic
• API integration and management tools
• Data privacy and compliance reporting tools
• Performance tracking and analytics tools