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:
