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emids

Architect

Reposted 21 Days Ago
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In-Office or Remote
Hiring Remotely in India
Senior level
In-Office or Remote
Hiring Remotely in India
Senior level
Design AI-driven automation solutions and agentic architectures, integrate AI with enterprise systems, lead AI initiatives, and mentor engineers.
The summary above was generated by AI

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
    •  

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