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Solutions Architect
Company | Automation Anywhere |
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Location | United States |
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Salary | $175000 – $200000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior |
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Requirements
- Bachelor’s degree in computer science, Engineering, or a related field.
- 5+ years of relevant experience as an RPA Solution Architect, strongly emphasizing integrating Generative AI into automation solutions.
- 2+ years of experience in architecting solutions and Automation Anywhere A360 bot building, coupled with proficiency in programming languages (e.g., Python, Java, C#).
- 2+ years of experience in the production deployment of Automation Anywhere A360 bots. Knowledge and understanding of Generative AI techniques, including deep learning, neural networks, and natural language processing.
- 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 designing and implementing scalable, optimized, and secure RPA solutions for enterprise-level applications.
- Strong analytical and problem-solving skills, translating business requirements into technical solutions.
- Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Responsibilities
- Lead the design and architecture of complex RPA solutions, focusing on incorporating Generative AI technologies. Develop/Code if required.
- Good knowledge of Automation Anywhere Products like A360, Document Automation, and Enterprise Knowledge.
- Collaborate with stakeholders to understand business requirements and align automation strategies with organizational goals.
- Develop high-level and detailed solution designs, ensuring they meet scalability, reliability, security standards, and technical ownership of end-to-end engagement.
- Integrate Generative AI capabilities into RPA solutions to enhance customer deliverables, decision-making, learning, and adaptive automation processes.
- Provide technical leadership and guidance to RPA development teams throughout the project lifecycle.
- Conduct feasibility studies and assess the applicability of Generative AI algorithms to optimize automation outcomes.
- Stay abreast of emerging technologies, especially in Generative AI, and evaluate their potential impact on RPA strategies.
- Adaptability and flexibility concerning technologies, work environment, and work timing as we work with domestic or global customers.
- Ability to accurately estimate project efforts and timeline during project initiation with appropriate risk, dependency, and constraints.
Preferred Qualifications
No preferred qualifications provided.