Lead enterprise automation initiatives using UiPath Agentic Automation, Agent Builder, Maestro, and IXP. Design OCR-driven document processing, REST API integrations, and JSON/XML data exchanges. Provide production support, queue and asset management, governance, and performance optimization. Apply Azure OpenAI, prompt engineering, and RAG to create intelligent automation workflows and autonomous agents.
Summary
We are seeking a highly skilled Senior UiPath Developer to lead initiatives in Agentic Automation and Intelligent eXperience Platform (IXP) within the IT Services sector. This pivotal role focuses on designing and deploying advanced automation solutions that leverage cutting-edge technologies to streamline complex business processes. The successful candidate will bridge the gap between traditional robotic process automation and emerging AI-driven agentic workflows, ensuring robust production support and strategic automation governance. This position is critical for driving innovation and operational efficiency, requiring a professional with extensive experience in orchestrating intelligent systems and integrating diverse data sources.
Responsibilities
- Architect and implement end-to-end automation solutions utilizing UiPath Agentic Automation frameworks, including the development of autonomous agents via UiPath Agent Builder and Maestro.
- Design and manage UiPath IXP implementations to enhance intelligent eXperience platforms and optimize document processing workflows.
- Engineer sophisticated OCR capabilities for accurate document classification, data extraction, and validation across varied document types.
- Develop and maintain seamless integrations using REST APIs, handling complex data interchange formats such as JSON and XML to connect disparate enterprise systems.
- Oversee production support activities for automation assets, ensuring high availability, performance optimization, and adherence to strict governance standards.
- Apply Azure OpenAI capabilities to enhance automation logic, utilizing prompt engineering and Retrieval-Augmented Generation (RAG) concepts to enable dynamic decision-making within workflows.
- Manage automation queues and assets to ensure efficient task distribution and resource utilization in live environments.
Requirements
Requirements:
- Minimum of 6 to 10 years of professional experience in the IT Services industry, with a significant portion dedicated to UiPath development.
- Proven expertise in UiPath Agentic Automation, including hands-on experience with UiPath Agent Builder, Maestro, and the IXP platform.
- Strong proficiency in implementing OCR solutions specifically for document classification and intelligent data extraction.
- Advanced technical skills in building integration services, with deep knowledge of REST APIs and data structures like JSON and XML.
- Demonstrated ability to manage production support lifecycles, including asset management, queue handling, and the enforcement of automation governance policies.
- Competence in leveraging Azure OpenAI services, particularly in crafting effective prompts and applying RAG architectures to improve automation intelligence.
- A track record of delivering scalable, secure, and high-performance automation solutions in enterprise environments.
Similar Jobs
Security • Cybersecurity
Own global revenue recognition under ASC 606 and accounting processes including commissions, COGS, and leases. Review tax provisions, returns, transfer pricing, and subsidiary filings; support external audits and cross-functional reporting. Lead accounting projects, process improvements, and AI-driven workflow automation. Requires a CA, Big 4 high-tech experience, strong US GAAP and revenue recognition knowledge, ERP experience, advanced Excel skills, and excellent communication.
Top Skills:
Ai Automation ToolsAsc 340-40Asc 606ExcelMS OfficeNetSuiteUs Gaap
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Designs and deploys production AI assistants, copilots, agents, RAG systems, and intelligent automations. Integrates LLMs with Snowflake, AWS, enterprise applications, and workflow platforms to automate business processes. Builds backend services and serverless workflows, implements observability and responsible AI controls, and scales validated prototypes into reliable production solutions. Partners with technical and business teams to improve decision-making, efficiency, quality, and cost performance.
Top Skills:
AirflowAmazon Api GatewayAmazon BedrockAmazon EventbridgeAmazon S3Amazon SagemakerAnthropicAws LambdaAws Step FunctionsAzure OpenaiDbtGeminiGoMcpMicrosoft Power AutomateMlflowN8NOauthOpenaiPythonRbacSalesforceServicenowSnowflakeSnowflake Cortex SearchSnowflake Ml RegistrySnowparkSsoTypescriptUipathWeights & BiasesWorkato
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Perform software verification and validation for embedded aerospace platform components. Develop test plans, conduct requirement- and scenario-based testing, execute change impact analyses, resolve technical issues, support audits, and collaborate with stakeholders. The role requires embedded C/C++ and RTOS expertise, emulator and debugger experience, testing tools, technical leadership, and stakeholder management.
Top Skills:
BitbucketC++DeosDoors NgEmbedded CIcdJIRALauterbachLdraLinuxRtosVectorcast/Cover
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
