Job Title: AI/RPA Solution Architect Job Description: We are seeking a highly skilled and experienced AI/RPA Solution Architect to join our Automation team. The ideal candidate will possess a robust background in AI technologies and extensive experience in RPA solutions. This role demands a deep understanding of AI/ML, NLP, and RPA tools, with a focus on delivering innovative solutions to our clients. Key Responsibilities: Solution Design: Architect and implement AI and RPA solutions tailored to meet specific business needs, ensuring scalability and efficiency. Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to seamlessly integrate AI/ML models and RPA workflows. Model Development: Develop and maintain scalable AI/ML models using Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, and spaCy. RPA Leadership: Lead the architecture and development of RPA solutions using Automation Anywhere (AA 360) and Power Platform, ensuring robust and efficient automation processes. Best Practices: Ensure adherence to best practices in AI/ML and RPA development, including code quality, testing, and documentation. Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement. Innovation: Stay abreast of the latest advancements in AI and RPA technologies, and proactively incorporate new tools and methodologies to enhance solution offerings. Requirements: Experience: 7-10 years of experience in implementing AI and RPA technologies Technical Skills: Must Have 1. Well versed in Microsoft Stack i.e. Azure ML/Cognitive Services, AI Builder etc. 2. Proficiency in Python and its libraries for AI/ML and NLP tasks (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy) RPA Tools: Extensive experience with RPA tools, specifically Automation Anywhere (AA 360) and Power Automate Problem-Solving: Strong problem-solving skills and the ability to thrive in a fast-paced environment Communication: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders Education: A master’s degree and/or degree in Computer Science, Engineering, or a related field is preferred Preferred Qualifications: Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML models. Additional Languages: Knowledge of other programming languages such as HTML, CSS, JavaScript, and C#. Certifications: Certification in AI/ML or RPA technologies. Tools and Technologies: Familiarity with additional tools and technologies such as Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines for streamlined development and deployment processes. RPA