Solution Architect

About Us

Automation Anywhere is the leader in Agentic Process Automation (APA) transforming how work gets done with AI-powered automation. Its APA system built on the industrys first Process Reasoning Engine (PRE) and specialized AI agents combines process discovery RPA end-to-end orchestration document processing and analyticsall delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work Automation Anywhere helps organizations worldwide boost productivity accelerate growth and unleash human potential.

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 :

All unsolicited resumes submitted to any @ email address whether submitted by an individual or by an agency will not be eligible for an agency fee.

Key Skills

Business Process,VMware,Cloud,HTML5,Windows,Project managements,AWS,Infrastructure,Web Services,JQuery,Java,Computer Engineering,Solutions design,Technical Solutions,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1