What makes Cognizant a unique place to work? The combination of rapid growth and a unique place international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.
As a Senior UiPath Automation Engineer/Architect, you will design, build and deliver enterprise-grade automation solutions using UiPath Studio, Orchestrator Maestro, and the broader UiPath platform. You will help create scalable, secure and well-governed automations that improve efficiency, quality and business outcomes for clients.
This role suits an experienced RPA professional having ML/Agentic AI experience with strong hands-on skills across attended, unattended, long-running, event-driven workflows and building custom machine learning models and AI agents. You will also work with UiPath Maestro, agentic workflows, human-in-the-loop patterns, APIs, webhooks, Integration Service, LLM integration, Document Understanding and AI Center. Experience in the insurance industry is required for this role.
You will contribute across the full delivery lifecycle, including estimation, solution design, planning, UAT, deployment, production support and continuous optimization. Success requires sound technical judgement, clear communication and the ability to translate business needs into reliable, maintainable automation solutions.
You will join a forward-looking team focused on intelligent automation, delivery excellence and measurable client value.
Mandatory Skills:
- 10+ years of hands-on experience delivering Intelligent automation practice, focusing on UiPath RPA solutions in enterprise environments. Any other IA tool experience is an advantage.
Strong expertise in:
- UiPath Studio (Modern Experience)
- REFramework and custom frameworks
- UiPath Orchestrator (Queues, Assets, Triggers, Packages)
- Document Understanding
- UiPath AI Center
- UiPath Action Centre
- UiPath Apps
- UiPath Maestro
- UiPath Swagger
- UiPath Insights
- UiPath Agents
- Automation Cloud
- Integration Services
- Experience with attended unattended, long-running, and event-driven workflows.
- Hands-on Experience integrating LLMs (Azure OpenAI, Open AI GPT, Gemini, Claude or similar) into enterprise automation solutions.
- Experience building AI agents, agentic AI workflows, and human-in-the-loop patterns.
- Knowledge of prompt engineering, vector database and semantic search concepts.
- Experience integrating REST/SOAP, webhooks, Graph API, UiPath Integration Service, MQ Messaging system and other event-driven systems.
- Understanding of LLM integration (Azure OpenAI/OpenAI) and prompt-based automation use cases.
- Knowledge of Document Understanding, UiPath Apps, AI Center, and ML-based automation.
- Knowledge of Responsible AI, model evaluation, observability, and AI governance.
- Strong knowledge of exception handling, logging, and performance optimisation.
- Experience with Excel, Outlook, SharePoint, and databases (SQL Server / Oracle).
- Good understanding of SDLC, Agile, and DevOps practices.
- Strong documentation, communication, and stakeholder management skills.
Duties and Responsibilities:
- Design, develop and deploy end-to-end automation solutions using UiPath and Intelligent automation technologies.
- Build hybrid attended, unattended and long-running workflows using UiPath Assistant, Studio, Orchestrator, UiPath Apps, Action Center and other modern UiPath services like Maestro.
- Integrate LLM (Azure OpenAI, OpenAI GPT, Gemini, Claude or similar) into RPA workflows to automate complex use cases such as classification, document processing, summarization and decision support.
- Implement intelligent document processing using Document Understanding, OCR Engines, ML Extractors, AI Centre, for LLM-powered use cases.
- Build re-usable common workflows, libraries and frameworks.
- Build human-in-the loop patterns for collecting human feedback for automation processes.
- Implement auto-learning mechanisms to assist continuous improvement of machine learning models and agents.
- Customized OCR to improve the quality of documents programmatically and as a result improve model accuracy.
- Build customized machine learning models and agents using Python for complex automation processes.
- Perform peer review of UiPath code and workflows to assist with maintaining the quality of the code.
- Create architecture for meta-driven automation framework for dynamically executing workflows.
- Build agentic automation solutions using UiPath Maestro, UiPath Apps, Action Center enabling multi-agent orchestration and human-in-the-loop workflows.
- Develop agentic processes leveraging RPA, APIs, business rules, and LLM capabilities for intelligent decision-making.
- Implement scalable integration with REST/SOAP, webhooks, Graph API, UiPath Integration Service for enterprise systems and MQ Messaging system using .NET Assemblies within UiPath.
- Build complex Apps in UiPath Apps, and UiPath Studio.
- Investigate UiPath products and collaborate with UiPath team to improve the product and customize it as per process requirements.
- Build customized UiPath App templates using HTML, JavaScript, CSS and build process around it using RPA Standards.
- Build custom Action Dashboards and Insights for business and use team teams.
- Build complex agents and NLP for complex use cases and integrate with Action Centre to collect human feedback across the process.
- Develop secure automation pipelines leveraging Azure Key and other password retrieval methods for security purposes.
- Develop API-first automation architecture to minimize the dependence on UI Automation within the process.
- Build enterprise grade Reframe work supporting multi-tenant execution, dynamic queue allocation, centralized exception handling, and flexible configuration.
- Develop custom logging framework to save the data on Splunk, Elasticsearch using JSON telemetry.
- Implement automated unit testing, workflow validation and package signing before deployment into Orchestrator environment.
- Develop automated health-monitoring bots to detect robot degradation and initiating self-recovery workflows.
- Collaborate with stakeholders to translate requirements into scalable automation and AI-driven solutions.
- Present the solutions to wider dev community and SMEs.
- Estimate effort, plan deliveries, and ensure milestones are met.
- Support UAT, deployment, and production support including issue resolution and optimization.
- Mentor junior developers and drive capability uplift in Agentic AI and modern automation practices.
- Ensure compliance with security, governance, and SDLC standards.
Qualifications & Certifications (Optional):
- UiPath RPA Developer Advanced - Mandatory
- UiPath Agentic Prompt Engineering – Mandatory
- UiPath Action Center - Mandatory
- Introduction to Agentic Automation - Mandatory
- Build your agent with UiPath Studio Web - Mandatory
- UiPath Agentic Associate certification - Strongly Preferred
Salary Range: >$100,000
Date of Posting: 7-Jul-26
Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
