
AI Governance Specialist
6 days ago
Job Title: AI Governance Specialist
The Applications Engineer plays a critical role in driving the strategic implementation and governance of AI tools such as Google Gemini, OpenAI, and Anthropic.
Key Responsibilities:
- Data Protection: Configure data privacy controls to prevent sensitive data training and enforce zero-retention policies.
- Compliance Reporting: Deliver comprehensive audit logs and compliance reporting for OpenAI usage.
- Security and Reliability: Implement robust guardrails and moderation tools to enhance security and reliability of AI applications.
- Performance Monitoring: Track model performance and usage metrics and produce regular reports for leadership.
- Prompt Engineering: Optimize prompt engineering and evaluate cost/performance trade-offs to maximize efficiency.
- Troubleshooting: Troubleshoot API calls, latency, and integration failures to ensure seamless operation.
- Knowledge Base Development: Maintain an internal admin guide with setup/configuration steps and governance rules.
- Training and Development: Develop knowledge bases and wikis for developers and end users.
- Escalation Point: Serve as the Tier 3 escalation point for OpenAI-related incidents.
- Collaboration: Collaborate with security, compliance, and engineering teams to expand safe and responsible use of AI tools.
Deliverables:
- AI Governance Expertise: Serve as the Subject Matter Expert (SME) for AI tools and oversee their overall governance.
- Default Project Space Management: Address issues related to the Default Project space.
- AI Environment Security: Ensure the security of the AI environment and its data by mitigating open business risks.
- Third-Party Integration: Enable AI tool functionalities for third-party applications.
Requirements:
- Education: Bachelor's degree in Computer Science or a related field.
- Experience: 5-8 years of experience in AI applications engineering.
- Skills: Demonstrated proficiency in AI tools, particularly Google Gemini, OpenAI, and Anthropic.
- Data Privacy and Compliance: Strong understanding of data privacy controls and compliance requirements.
- Problem-Solving Skills: Excellent problem-solving and troubleshooting skills.
- Communication and Collaboration: Strong communication and collaboration skills.
Tools and Technologies:
- Google Gemini
- OpenAI
- Anthropic
- API integration and management tools
- Data privacy and compliance reporting tools
- Performance tracking and analytics tools
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