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Solutions Architect

Solutions Architect

CompanyAutomation Anywhere
LocationUnited States
Salary$175000 – $200000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

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.