Solution Architect, Professional Services
1 week ago
About Us
Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at
Qualifications 1.Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2.Proven experience as an RPA Solution Architect, with a strong emphasis on integrating Generative AI into automation solutions.
3.Expertise in at least one RPA tools such as Automation Anywhere, UiPath, Blue Prism coupled with proficiency in programming languages (e.g., Python, Java, C#).
4.Knowledge and understanding of Generative AI techniques, including deep learning, neural networks, and natural language processing.
5.6 to 10 years of relevant experience.
Skills
- 1.Familiarity with process analysis and improvement methodologies. Excellent problem-solving skills and attention to detail.
2.Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
3.Experience with process documentation and workflow diagramming.
5.Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
6.Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Responsibilities
- 1.Lead the design and architecture of complex RPA solutions with a focus on incorporating Generative AI technologies. Development/Coding if required.
2.Collaborate with stakeholders to understand business requirements and align automation strategies with organizational goals.
3.Develop high-level and detailed solution designs, ensuring they meet scalability, reliability, and security standards.
4.Technical ownership of end-to-end engagement as he/she would be completely responsible for the same.
5.Integrate Generative AI capabilities into RPA solutions to enhance customer deliverable, decision-making, learning, and adaptive automation processes.
6.Provide technical leadership and guidance to RPA development teams throughout the project lifecycle.
7.Conduct feasibility studies and assess the applicability of Generative AI algorithms to optimize automation outcomes.
8.Stay abreast of emerging technologies, especially in Generative AI, and evaluate their potential impact on RPA strategies.
9.Adaptability and flexibility with respect to technologies, work environment and work timing as we work with global customers.
10.Ability to accurately estimate project efforts and timeline during project initiation with appropriate risk, dependency and constraints.
11.Open to work from client location and AA office.
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