Generative AI Analyst

Bachelor’s degree in Computer Science, Business, Data Science, or related field
0-2 years of professional experience (personal projects, coursework, and self-directed learning highly valued)
Demonstrated passion for GenAI and LLMs through personal projects, online courses, or contributions
Basic understanding of machine learning concepts and natural language processing
Experience with AI platforms and tools (e.g., OpenAI, Anthropic, Hugging Face, etc.)
Familiarity with programming languages commonly used in AI applications (Python, JavaScript)
Experience taking projects from concept to implementation in a collaborative environment
Strong business acumen with the ability to identify AI solutions that drive tangible business value
Excellent presentation skills and ability to communicate complex AI concepts to business stakeholders
Experience creating compelling presentations and documentation for technical and non-technical audiences
Strong problem-solving abilities and a curiosity-driven approach to learning
Self-motivated with the ability to learn independently in a rapidly changing field
Enthusiasm for teaching others and sharing knowledge about AI applications

Work directly with the Chief Product & Technology Officer to identify opportunities for AI integration
Research and evaluate emerging AI technologies and tools with potential applications for our business
Prototype AI-powered solutions to enhance our products and improve internal workflows
Implement and deploy production-ready AI capabilities that create measurable improvements
Lead the rollout of successful AI solutions to teams across the organization
Provide hands-on support and troubleshooting during implementation phases
Collaborate with cross-functional teams to understand business needs and develop AI-driven solutions
Stay current with the latest developments in GenAI, LLMs, and related technologies
Document findings, implementations, and best practices for AI applications
Train and educate team members on effectively leveraging AI technologies
Create and deliver presentations to stakeholders highlighting AI implementation and business impact
Analyze the impact of AI implementations and make data-driven recommendations for improvements