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Strategy / Sustainability / M&A / Business Process Management / Organization Change Management / Digital Transformation.
Generative AI Integration Expert
Location
United States
Posted
73 days ago
Salary
0
Seniority
Senior
Job Description
Generative AI Integration Expert
Freedom
• Complete a practitioner-level skills assessment used for validation and standard-setting purposes. • Complete a short post-assessment survey providing feedback on the assessment experience. • Completed skills assessment within the defined access window. • Completed post-assessment survey.
Job Requirements
- The SME should be a current practitioner with applied, real-world experience related to the following knowledge areas and skills: Integrate AI-powered code generation and completion tools into software development workflows
- Evaluate and select appropriate generative AI tools for development tasks
- Apply generative AI to automate and enhance code testing and quality assurance processes
- Use generative AI to generate and maintain software documentation
- Implement prompt engineering techniques to optimize AI-assisted development output
- Understand the architecture and capabilities of large language models (LLMs) used in developer tools
- Integrate AI-powered APIs and SDKs into existing applications
- Apply best practices for security and data privacy when using generative AI in production code
- Use generative AI tools for debugging, refactoring, and code review
- Evaluate AI-generated code for correctness, efficiency, and maintainability
- Understand the limitations and potential biases of generative AI in software development
- Implement CI/CD pipeline integrations with AI-assisted tooling
- Apply generative AI to design patterns, architecture decisions, and technical documentation
- Manage AI model versioning and deployment in development environments
- Active practitioner with hands-on experience in Generative AI Integration for Developers or closely related domains. Practical, working knowledge of how the concepts listed above are applied in real professional settings. Does not need to be an academic researcher or industry thought leader — applied experience is what matters.
- Minimum Performance Expectation Participants must demonstrate baseline practitioner competency by scoring above 50% on the assessment.
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