RPA Solution Architect

HCL Technologies Limited; Île-de-France; On-site; EUR 100,000 - 150,000; Full time

Job summary

HCL Technologies Limited is seeking a Solution Architect – Agentic AI to lead the design and implementation of enterprise-grade Agentic Automation solutions within client environments. You will architect systems where AI agents, robots, and humans collaborate to enable adaptive, intelligent workflows powered by UiPath’s Agentic Automation platform.

The role requires deep UiPath experience, technical leadership across POC to production deployments, and the ability to govern scalable solutions

Qualifications

• 10+ years in IT with strong development background
• 5+ years in UiPath / RPA / Intelligent Automation architecture
• Experience leading teams and delivering enterprise automation programs

Responsibilities

• Design end-to-end Agentic Automation architectures combining AI agents, RPA bots, APIs and enterprise systems
• Define agent orchestration strategies and multi-agent collaboration patterns
• Provide architecture guidance across POCs, production deployments and enterprise-scale implementations
• Ensure scalable, secure and governed solutions with best practices for agentic systems
• Act as a trusted technical advisor to client leadership and drive adoption of Agentic AI architecture patterns

Job description

As a Solution Architect – Agentic AI, you will lead the design and implementation of enterprise-grade Agentic Automation solutions within the client environment.

You will architect systems where AI agents, robots, and humans collaborate seamlessly, enabling adaptive, intelligent, and scalable business processes. This role goes beyond traditional RPA to deliver autonomous and semi-autonomous enterprise workflows powered by UiPath’s Agentic Automation platform.

What You’ll Do

Agentic Solution Architecture

• Design end-to-end Agentic Automation architectures, combining AI agents, RPA bots, APIs and enterprise systems,Human-in-the-loop workflows
• Define agent orchestration strategies, including Multi-agent collaboration, Decision routing, Context propagation

AI & Automation Integration

• Integrate capabilities such as:
• Computer Vision
• Design solutions where AI agents handle reasoning, exceptions, and variability, while bots execute deterministic tasks.

Technical Leadership

• Provide architecture guidance across POCs, Production implementations and Enterprise-scale deployments
• Define development standards, frameworks, and best practices for agentic systems.
• Ensure solutions are Scalable, Secure and Governed

Delivery Oversight

• Oversee full lifecycle:
• Review critical components including Agent logic, Workflow orchestration, Exception handling strategies
• Ensure alignment between business intent and technical execution.

Client Engagement & Advisory

• Act as a trusted technical advisor to client leadership.
• Drive adoption of Agentic AI architecture patterns.
• Conduct demos, technical workshops, and blueprint sessions.
• Lead and mentor developers and architects.
• Enable teams to build agent-driven automation solutions.
• Promote knowledge sharing and capability building.

What You’ll Bring

Experience

• 10+ years in IT with strong development background
• 5+ years in UiPath / RPA / Intelligent Automation architecture
• Experience leading teams and delivering enterprise automation programs

Agentic AI & Technical Expertise

• Deep expertise in UiPath platform, including:
• Orchestrator
• RE Framework
• AI Center
• Apps, Insights, Action Center
• Strong understanding of:
• Agentic Automation principles
• Multi-agent systems

Programming & Integration

• Experience integrating:
• APIs
• Enterprise applications (SAP, Citrix, Mainframe)

AI & Emerging Tech

• Exposure to:
• Generative AI
• Machine Learning workflows
• OCR and cognitive automation
• Ability to embed AI-driven decisioning into workflows

Certifications

• UiPath Certified Professional – Solution Architect
• UiPath Agentic Automation Associate Certification

Success in This Role Looks Like

• Deployment of scalable Agentic Automation architectures
• High-performing systems where AI agents autonomously handle complex decisions
• Reduced human intervention through intelligent orchestration
• Strong technical governance and reusable frameworks