Architect

Key Responsibilities

AI & Agentic Architecture

• Design and implement Agentic AI systems capable of autonomous decision-making and task orchestration.
• Architect multi-agent workflows integrating LLMs, AI services, APIs, and automation tools.
• Build AI-powered orchestration frameworks that combine automation, reasoning, and adaptive learning.
• Define enterprise AI architecture patterns for scalable AI deployments.

Intelligent Automation

• Lead end-to-end automation solution design using UiPath.
• Architect AI-infused automation solutions integrating:
  • Document Understanding
  • AI Center
  • Process Mining
  • Task Mining
• Develop reusable automation frameworks and accelerators.

AI Solutioning

• Translate business requirements into AI-driven automation solutions.
• Evaluate and integrate AI models, LLM platforms, and AI services.
• Identify opportunities for hyperautomation using AI + RPA + APIs.
• Provide technical leadership in AI adoption and automation transformation programs.

Platform Integration

• Integrate automation and AI with enterprise systems such as:
  • ERP
  • CRM
  • Data platforms
  • APIs and microservices
• Design AI + automation orchestration layers.

Governance & Best Practices

• Define automation and AI architecture standards.
• Ensure security, compliance, and responsible AI practices.
• Establish DevOps/MLOps practices for AI automation pipelines.

Leadership & Collaboration

• Mentor automation engineers, AI engineers, and architects.
• Collaborate with business stakeholders, product teams, and enterprise architects.
• Drive innovation initiatives in Agentic AI and intelligent automation.

Required Skills

AI & Agentic Systems

• Experience designing AI-driven automation and agentic workflows
• Hands-on experience with:
  • LLM integrations
  • Prompt orchestration
  • AI APIs
  • Autonomous agent frameworks
• Understanding of AI reasoning workflows and decision systems

Automation

• Experience with:
  • UiPath Orchestrator
  • AI Center
  • Document Understanding
  • Integration Service
  • Process Mining / Task Mining
• Experience building enterprise-scale RPA solutions

Cloud & Data

• Experience with cloud platforms such as:
  • AWS
  • Azure
  • GCP