• Define project scope and deliverables that support business goals in collaboration with executive management.
• Design end-to-end solutions using Automation Anywhere best practices and maintain technical responsibility for project delivery.
• Administer Automation360 Control Room, per Administration & Monitoring Best Practices
• Drive the strategic and tactical roll-out of various cognitive solutions to enterprise customers.
• Maintain Best Practices for Administration / Monitoring of Automation 360 environment to ensure automation availability / service
• Manage and drive key performance indicators related to expansion of automation program
• Configure AARI / Attended automation solutions to drive expansion of automation footprint (consumption)
• Consult with clients and partners to provide functional and technical expertise in areas including solution designs, project management.
• Provide guidance of new product initiatives, ensuring adherence to best practices.
• Lead strategic initiatives related to the Center of Excellence, including programs to test product functionality prior to market release
• Own the documentation of the technology architecture for in-house and adopters of our solutions.
• Manage project expectations as well as participate in software development, continuous deliverance of progress reports, requirements documentation, and presentations.
• Serves as the chief technical resource and helps define appropriate client support responses, as well as dealing directly with customers on high-level critical issues.
• Provide technical leadership and contribute to distributed, cross-institutional open-source software application architecture and design teams.
• Develop strong relationships with internal business stakeholders to identify and deliver on high-value automations

You will be a great fit if you have:

• Bachelor's required in Computer Science, Data Analytics, Data Science or other forms of Engineering, Master s preferred
• At least 7 years relevant experience in a technical role such as Software Engineering, Solutions Architecture, Technical Product Management, etc.
• Prior experience with RPA platforms such as Automation Anywhere, UiPath, Blue Prism, Workfusion, etc.
• Successful implementation of at least 1 IQ Bot project on v11 or A360 recommended
• Experience training documents with IQ Bot, Pre Processing, and Post Processing techniques and best practices
• Experience in object-oriented programming (C#, C , JavaScript, Java, PowerShell, or Python preferred) and Shell/Batch/VB scripting (Linux, Windows).
• Strong knowledge and experience in SDLC process including solutions design, best practices, application design, development, troubleshooting, and maintenance.
• Strong knowledge of machine learning project lifecycle, identifying data, curation, training, optimization of models is a must.
• Experience with implanting various machine learning platforms such as computer vision and NLP-based cognitive solutions especially ones involving classification or extraction models is a plus.
• Databases such as SQL Server is a must. Fluency in SQL Joins and other DB best practices. Knowledge is Stored in procedures, server architecture.
• Deploying applications in AWS, Azure infrastructure, knowledge of CloudFormation or terraform scripting.
• CI/CD architecture preferred with exposure to Jenkins, CircleCI
• Ability to document process workflows to highlight the business value by automating existing/new processes.
• Thorough understanding of various system architecture, Window/Unix based server application deployment, including knowledge on High Availability on-premise/cloud-based delivery models.
• Experience with Agile Development and Scrum methodology. (CSM/CSD recommended)

You excel in these key competencies:

• Solid presentation and communication skills and ability to effectively communicate complex technical concepts to a broad range of audiences.
• Client-facing experience, ability to interact with C-level executives, and handle a high level of communication.
• Strong track record of working collaboratively with software engineering to develop and deploy systems.