Gen AI

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as an RPA Solution Architect, with a strong emphasis on integrating Generative AI into automation solutions.
• Expertise in at least one RPA tools such as Automation Anywhere, UiPath , Blue Prism coupled with proficiency in programming languages (e.g., Python, Java, C#).

• Generative Adversarial Networks (GANs): Proficiency in designing and implementing GANs to generate synthetic data, enhance training datasets, and create realistic simulations for RPA testing.
• Reinforcement Learning: Expertise in applying reinforcement learning techniques to enable RPA systems to learn from experience, make adaptive decisions, and optimize automation processes over time.
• Transfer Learning: Experience in utilizing transfer learning methodologies to leverage pre-trained models and accelerate the training process for Generative AI components within RPA solutions.
• Natural Language Generation (NLG): Knowledge of NLG algorithms to enable RPA bots to generate human-like and contextually relevant textual content for communication and reporting.

• Lead the design and architecture of complex RPA solutions with a focus on incorporating Generative AI technologies. Development/Coding if required.
• Collaborate with stakeholders to understand business requirements and align automation strategies with organizational goals.
• Develop high-level and detailed solution designs, ensuring they meet scalability, reliability, and security standards.
• Technical ownership of end-to-end engagement as he/she would be completely responsible for the same.