AI Application Analyst

Proven experience in prompt engineering and developing AI instructions for conversational agents or assistants. Strong understanding of AI language models and natural language processing concepts. Ability to write clear, concise, and effective AI instructions. Experience collaborating with cross-functional teams to translate business needs into AI solutions. Ability to work independently while also collaborating effectively with team members. Familiarity with Python is a plus but not mandatory. Excellent communication skills, with attention to detail and quality in AI content creation. Demonstrated problem-solving skills and ability to work in a fast-paced, evolving environment. Experience with AI platforms such as OpenAI, Gemini, Claude, Hugging Face, or similar (desired). Familiarity with prompt tuning and fine-tuning techniques for language models (desired). Knowledge of Python programming and scripting for AI applications (desired). Background in human-computer interaction or UX design related to AI assistants (desired). Understanding of data privacy and security considerations in AI deployments (desired). Ability to analyze user feedback and usage data to improve AI performance (desired). Passion for innovation and staying current with advances in AI and NLP technologies (desired).

Drive outcomes with stakeholders from requirement gathering to automation solution launch. Design and develop AI agents and assistants by crafting prompts and AI instructions. Build and deliver AI enablement and training to end users. Design, test, and refine prompt structures and instruction sets. Drive evaluation, testing, integration, and enablement of new enterprise AI tools. Analyze AI agent interactions and performance data for improvements. Create documentation of prompt engineering methods and AI instruction guidelines. Participate in the People Data Solutions (PDS) and AI team to shape strategy and launch products.