Lead the design and architecture of complex RPA solutions with a focus on incorporating Generative AI technologies.
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.

5-8 years of experience in software development, with at least 3 years proven experience as an RPA Solution Architect, with a strong emphasis on integrating Generative AI into automation solutions.
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.) and cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML, etc.).
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
AI/ML certifications (e.g., Google Professional Machine Learning Engineer/AWS Certified AI Practitioners/Microsoft AI-900, etc.) preferred.
Cloud certifications (AWS, Azure, Google Cloud) relevant to AI/ML solutions.

Solution Architect

Key skills