Solution Architect

Description : Qualifications and Skills : - Bachelors or Masters 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#).- Knowledge and understanding of Generative AI techniques, including deep learning, neural networks, and natural language processing.- 6 to 10 years of relevant experience.- Familiarity with process analysis and improvement methodologies. Excellent problem-solving skills and attention to detail.- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.- Experience with process documentation and workflow diagramming.- Experience in designing and implementing scalable, optimized and secure RPA solutions for enterprise-level applications.- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.- 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.- Explainable AI (XAI) : Understanding of XAI techniques to enhance transparency and interpretability of Generative AI models within RPA systems, ensuring accountability and compliance.- Model Deployment and Management : Familiarity with deploying Generative AI models in production environments and managing their lifecycle, including monitoring, updates, and version control.- Data Privacy and Ethics : Knowledge of ethical considerations and data privacy principles related to Generative AI, ensuring responsible and compliant integration within RPA solutions.- Agentic AI : Knowledge of sentiments, Prompts, and structured input to Agent and proper Structured output from Agent- Continuous Learning and Research : Commitment to staying updated on the latest advancements in Generative AI through continuous learning, research, and participation in relevant conferences and forums.Responsibilities : - Lead the design and architecture of complex RPA solutions with a focus on incorporating Generative AI technologies. Development/Coding of Proposed solution.- 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.- Integrate Generative AI capabilities into RPA solutions to enhance customer deliverable, decision-making, learning, and adaptive automation processes.- Provide technical leadership and guidance to RPA development teams throughout the project lifecycle.- Conduct feasibility studies and assess the applicability of Generative AI algorithms to optimize automation outcomes.- Stay abreast of emerging technologies, especially in Generative AI, and evaluate their potential impact on RPA strategies.- Adaptability and flexibility with respect to technologies, work environment and work timing as we work with global customers.- Ability to accurately estimate project efforts and timeline during project initiation with appropriate risk, dependency and constraints.- Open to work from client location and AA office. (ref:hirist.tech)