AI Applications Governance Specialist

1 week ago

Belgaum, Karnataka, India beBeeAiExpert Full time ₹ 13,27,860 - ₹ 25,11,910

As an AI SME, you will configure and manage data privacy controls to prevent the training of AI models on sensitive data and enforce zero-retention policies.

The role involves delivering comprehensive audit logs, compliance reporting, and monitoring for OpenAI usage to ensure adherence to regulatory standards.

You will implement robust guardrails and moderation tools, including fine-tuned safety layers, to enhance the security and reliability of AI applications.

Responsibilities also include tracking and analyzing model performance and usage metrics, producing regular reports for leadership to inform strategic decisions.

Optimizing prompt engineering and evaluating cost/performance trade-offs are key aspects of this role, such as comparing GPT-4 and GPT-4o mini to maximize efficiency and effectiveness.

Troubleshooting and resolving technical issues related to API calls, latency, and integration failures are essential to ensuring seamless operation of AI tools.

Maintaining a detailed internal admin guide with setup/configuration steps, governance rules, and best practices for AI tool management is crucial.

Developing and maintaining knowledge bases and wikis for developers and end users to facilitate knowledge sharing and skill development is a key responsibility.

Delivering training sessions for IT staff to expand their expertise in managing OpenAI tools and ensure comprehensive admin coverage is essential.

Serving as the Tier 3 escalation point for OpenAI-related incidents, providing expert-level support and resolution is critical.

Collaborating with security, compliance, and engineering teams to expand the safe and responsible use of AI tools across the organization is vital.

Key deliverables include serving as the Subject Matter Expert (SME) for AI tools and overseeing their overall governance.

Addressing and resolving issues related to the Default Project space, ensuring optimal functionality is a priority.

Ensuring the security of the AI environment and its data by mitigating open business risks is essential.

Enabling AI tool functionalities for third-party applications, starting with a general introduction and expanding capabilities as needed.

To be successful in this role, you will need a bachelor's degree in Computer Science, Engineering, or a related field, preferably with a master's degree.

5-8 years of experience in AI applications engineering or a related role is required, along with demonstrated proficiency in AI tools, particularly Google Gemini, OpenAI, and Anthropic.

A strong understanding of data privacy controls and compliance requirements is essential, as is experience in configuring and managing AI tool environments securely and effectively.

Excellent problem-solving and troubleshooting skills, with the ability to handle complex technical issues, are necessary.

Strong communication and collaboration skills, with experience delivering training and creating documentation, are also required.

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