Senior Intelligent Automation Engineer
New
Based in the United StatesFull-TimeSenior
Salary95,000 - 137,000 USD per year
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Job Details
- Experience
- 4+ years of experience in intelligent automation
- Required Skills
- Project ManagementPythonJavaVB.NET
Requirements
- 4+ years of experience in intelligent automation, with strong hands-on expertise in UiPath
- Proven track record of delivering and managing automation projects in client-facing or consulting environments
- Strong understanding of RPA, workflow automation, and related technologies such as IDP, BPM, or conversational AI
- Ability to analyze complex processes and translate business needs into scalable technical solutions
- Strong project management skills with experience handling scope, timelines, and delivery responsibilities
- Excellent communication and stakeholder management skills, with the ability to build trusted client relationships
- Strong problem-solving mindset with the ability to think both strategically and technically
- Experience in software development or scripting languages such as Python, Java, or VB.NET is a plus
- Familiarity with additional tools such as Automation Anywhere, Power Automate, Celonis, or low-code platforms is a plus
- UiPath certification or willingness to obtain it is highly valued
Responsibilities
- Lead end-to-end automation project workstreams, managing scope, timelines, budget, and delivery quality across client engagements
- Design, develop, and implement intelligent automation solutions using technologies such as RPA, IDP, BPM, workflow orchestration, and conversational AI
- Collaborate with cross-functional teams, including developers, architects, and business stakeholders, to deliver scalable and effective solutions
- Analyze business processes and technical requirements to identify automation opportunities and define solution approaches
- Serve as the primary technical point of contact for clients, building strong relationships and acting as a trusted advisor
- Provide recommendations based on data analysis, technical feasibility, and industry best practices
- Ensure continuous improvement of automation frameworks, methodologies, and delivery standards
- Stay current with emerging trends in automation, AI, and digital transformation to inform solution design and innovation
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