Key Responsibilities: * Design, develop, test, and refine prompts to interact effectively with generative AI models, ensuring high-quality, relevant, and contextually accurate outputs. * Collaborate with cross-functional business groups to document requirements on gen AI use cases and translate them into effective AI prompts. * Lead and manage prompt engineering delivery from design through implementation, ensuring timely delivery and alignment with business objectives * Collaborate with cross-functional teams, including machine learning engineers, product managers, and UX designers, to integrate prompt-driven AI features into RPA or other technologies. * Conduct thorough testing and iteration of prompts based on user feedback and model performance data to continually improve output quality. * Stay abreast of the latest developments in AI and prompt engineering practices to ensure our approaches remain cutting-edge. * Address and mitigate biases in AI responses, promoting ethical AI usage that respects user privacy and fairness. * Create and maintain comprehensive documentation of prompt engineering processes, best practices, and use cases. Contribute to the development of a centralized prompt repository for reusability across the organization. * Actively contribute to initiatives aimed at expanding prompt engineering capabilities and improving or optimizing prompt engineering service delivery.
Required Skills and Qualifications: * Bachelor s degree. * Hands on experience in Python with experience in web API integration.. * Excellent problem-solving skills and creative mindset. * Exceptional collaboration and communication skills, with the ability to work effectively in a team and articulate ideas to both technical and non-technical stakeholders. * Agility and adaptability in a fast-paced, evolving technology landscape
Preferred Qualifications: * Experience in M365 Copilot * Prior experience in Prompt Engineering. * Power Platform (Power BI, Power Apps) * Robotic Process Automation * Experience with natural language processing (NLP) and machine learning (ML) frameworks and tools. * Advanced degree in a relevant field. * Published work or contributions to the field of AI, NLP, or computational linguistics