
Intelligent Automation Architect
4 semanas atrás
- Design the architecture of complex intelligent automation solutions. Developing/coding parts of the solutions may be required occasionally.
- Develop high-level and detailed solution designs, ensuring they meet scalability, reliability, and security standards.
- Be the end-to-end technical lead, as well as ensure the engagement of all necessary parties.
- Optimize automation workflows by integrating GenAI, ML, IDP, and analytics where applicable.
- Provide technical leadership and guidance to intelligent automation development teams
throughout the project lifecycle.
- Troubleshoot and resolve technical issues related to intelligent automation implementations.
- Perform code reviews and enforce coding standards within the RPA development team.
- Adaptability and flexibility with respect to technologies, environment, and work schedules, as we work with global clients.
- Ability to accurately estimate project efforts and timelines at the project initiation phase,
including risks, dependencies, and appropriate constraints.
**What We Are Looking For**:
1. Problem-solving skills and attention to detail.
2. Ability to work collaboratively in a team and communicate effectively with stakeholders.
3. Experience designing and implementing scalable, optimized, and secure intelligent automation
4. Excellent organizational and communication skills to interact with multidisciplinary teams and stakeholders at various levels.
**REQUIREMENTS**:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in intelligent automation, with at least 3 years as a Solution
Architect.
- Strong understanding of intelligent automation best practices, governance, and lifecycle
management.
- Expertise in Automation Anywhere A360 and earlier versions.
- Experience in integrating GenAI, ML and IDP into intelligent automation solutions
- Proficiency in scripting languages such as Python, VBScript, C# or JavaScript.
- Automation Anywhere certifications
- Experience with automation orchestration tools and frameworks to manage complex
intelligent automation workflows.
- Deep understanding of Automation Anywhere Control Room administration and bot
lifecycle management.
- Knowledge and understanding of generative AI techniques, including deep learning, neural
networks, and natural language processing.
- Fluent in English
**Knowledge that may be a differential for the position**:
- Knowledge of cloud platforms services like AWS, Azure, or Google Cloud
- Experience in working with APIs, microservices, and system integrations.
- Knowledge of Automation Anywhere IA Agents, IA Studio, Enterprise Knowledge and Document
Automation products.
- Other certifications and trainings in the intelligent automation field.
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