AI/ Automation Engineer

Project Overview

• AI and Automation initiatives focus on leveraging technologies like RPA, AI/ ML, IDP and NLP to automate business processes to improve productivity and operational efficiency.
• Though this effort, we will develop and deploy scalable and efficient AI and automation solutions leveraging tools and technologies that are part of Client's technology solution building block.

Job Functions & Responsibilities

• Design, develop, test, and deploy scalable and efficient automation solutions using UiPath Studio, Orchestrator, and Robot.
• Collaborate with business analysts and stakeholders to understand business processes and identify automation opportunities.
• Integrate automations with AI/ML models, APIs, OCR engines, NLP services (e.g., Azure Cognitive Services, OpenAI, Google Cloud NLP) and other intelligent systems.
• Develop and implement AI algorithms and models to enhance automation capabilities and improve decision-making processes.
• Leverage additional automation tools such as Power Automate, or Python/RPA frameworks to build hybrid solutions when appropriate.
• Utilize AI tools and technologies to perform data analysis, predictive modeling, and natural language processing to support automation tasks.
• Implement best practices for automation design, logging, exception handling, and security.
• Participate in code reviews, maintain documentation, and provide support for deployed bots.
• Contribute to establishing automation governance standards and best practices across the enterprise.
• Stay updated with the latest AI and automation trends, tools, and technologies to continuously improve and innovate automation solutions.

Skills

• Proven experience as a UiPath Developer with a strong understanding of UiPath Studio, Orchestrator, and Robot.
• Hands-on experience building and integrating with AI/ML models, APIs, OCR engines, NLP services.
• Proficiency in AI tools and technologies such as Azure Cognitive Services, OpenAI, Google Cloud NLP, or similar.
• Strong programming skills in languages such as Python, R, or Java for developing AI models and automation scripts.
• Ability to design and implement AI algorithms and models to enhance automation capabilities.
• Excellent problem-solving skills and the ability to think analytically.
• Strong communication and collaboration skills to work effectively with business analysts, stakeholders, and team members.
• Knowledge of best practices for automation design, logging, exception handling, and security.
• Experience with other automation tools like Power Automate is a plus.
• Continuous learning mindset to stay updated with the latest AI and automation trends.