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.

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

•