Job Description

The AI / RPA Engineer will be responsible for developing, maintaining, and enhancing RPA solutions that streamline business operations. This role requires strong technical expertise in automation tools, programming languages, and AI technologies, along with the ability to analyze and resolve issues in a fast-paced environment.

Key Responsibilities

Develop new automations and enhance existing ones based on stakeholder requirements
Troubleshoot and resolve issues logged by users in a timely and effective manner
Participate in ideation, planning, testing, and rollout phases of automation projects
Create and maintain comprehensive documentation for solutions and processes
Test new automation features and provide constructive feedback
Collaborate with cross-functional teams to identify automation opportunities and assess feasibility
Design and integrate AI capabilities into automation workflows, including
Machine learning models for predictive analytics and decision-making
Natural language processing (NLP) for interpreting unstructured data and enabling conversational interfaces
Intelligent document processing (IDP) for extracting and classifying data from scanned documents, PDFs, and emails
Evaluate and implement AI tools and platforms that complement RPA solutions
Monitor AI-enhanced automations for performance, accuracy, and compliance
Amenable to work during US hours

Required Qualifications

Four-year degree in Computer Science, Information Systems, or related field
Minimum 5 years of experience with RPA tools such as Blue Prism and/or Power Apps
Strong programming skills in Python and/or .NET (C#)
Experience with Microsoft 365, SharePoint, and collaboration platforms
Knowledge of GitHub, Jenkins, JIRA, Notepad++, PMP, Proofpoint, WinSCP
Understanding of Azure and AWS services such as Azure Functions, AWS Lambda, and AWS Step Functions
Understanding of REST APIs and database interactions
Familiarity with test automation tools and frameworks
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Azure ML
Knowledge of NLP tools (e.g., spaCy, NLTK, Azure Cognitive Services)
Experience with OCR and IDP platforms (e.g., ABBYY, UiPath Document Understanding, Amazon Textract
Excellent analytical and problem-solving skills