Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
Automation Anywhere
RPA
Architect
Job Details
Key Responsibilities:
- Ability to interpret complex requirements, and expertise to define and implement the most effective automation strategy using RPA tools (Automation Anywhere)
- Engage with business stakeholders to understand functional and nonfunctional requirements, translating them into automation opportunities.
- Evaluate business needs and determine the most suitable automation approach (e.g., RPA, API integration, test automation, workflow orchestration).
- Assess and recommend automation tools and platforms based on use case, scalability, and integration capabilities.
- Design scalable and secure automation architectures that may incorporate AI and align with enterprise standards and goals.
- Guide development teams in building automation solutions, ensuring adherence to architectural standards and best practices.
- Provide technical leadership in resolving complex automation issues and continuously optimize performance and reliability.
- Ensure automation solutions comply with security, data privacy, and regulatory requirements.
- Establish best practices for code quality, documentation, and performance optimization for automation scripts and AI models.
- Stay current with emerging technologies in automation and AI, bringing innovative ideas to improve business outcomes.
Preferred skills & qualifications:
- Bachelor s or master s degree in computer science, Engineering, or related field.
- 8+ years of experience in automation tools (E.g. Automation Anywhere, UiPath)
- Proven hands-on experience designing and deploying automation solutions that integrate AI and machine learning models.
- Expertise with Robotic Process Automation (RPA) platforms like Automation Anywhere (Preferred) UiPath, Power Automate, etc
- Strong understanding of software development, system integration, and cloud infrastructure.
- Strong understanding of CI/CD pipelines and DevOps practices.
- Professional certifications in AI/ML from cloud providers (Azure AI Engineer Associate).
- Excellent analytical, problem solving, and communication skills.
- Ability to work cross functionally and influence stakeholders at all levels
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.