AI Process Manager

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Experience: 3+ yrs

Location: Delhi, India, New Delhi, Delhi, India

Job Type: Full-time

We are looking for an experienced and hands-on AI Process Manager to identify business processes that can be transformed through artificial intelligence and build practical AI-powered solutions, intelligent agents, and automated workflows.

The role will focus on applying AI across order management, logistics, warehouse operations, CRM, and other business processes to reduce manual intervention, improve operational efficiency, and enable intelligent information flow between systems and teams.

Requirements

Key Responsibilities

• Design, build, and implement AI agents and AI-powered workflows for real-world business processes.
• Develop intelligent agents capable of interpreting business information, applying rules and context, and triggering appropriate actions.
• Identify repetitive and manual processes that can be partially or fully automated using AI.
• Build multi-step agentic workflows that interact with business systems, retrieve information, and initiate downstream actions.
• Develop AI-driven workflows for upcoming and incoming orders, including monitoring requirements and triggering operational activities.
• Automate the flow of relevant order information to warehouse, logistics, and other operational teams.
• Develop AI solutions that identify exceptions, inconsistencies, delays, and potential issues across the order lifecycle.
• Integrate AI solutions with Zoho CRM and other business applications.
• Work with APIs, webhooks, integrations, and technical teams to connect AI workflows with existing systems.
• Analyse warehouse and logistics processes and identify opportunities for intelligent automation and coordination.
• Develop AI-powered workflows that provide operational teams with the information required to process upcoming orders efficiently.
• Design intelligent exception-handling workflows that identify situations requiring human intervention.
• Map existing business processes and design AI-first future-state workflows.
• Assess which activities should be handled by AI, automation, or human teams based on business impact and feasibility.
• Evaluate emerging LLMs, AI agent frameworks, orchestration platforms, and automation tools for business applications.
• Experiment with and implement LLM-based solutions, autonomous agents, and intelligent workflows.
• Monitor the accuracy, reliability, performance, and business impact of deployed AI solutions.
• Establish appropriate human-in-the-loop processes for workflows requiring validation or approval.
• Continuously optimise AI solutions based on performance data, exceptions, and stakeholder feedback.
• Identify and prioritise new AI transformation opportunities as the business scales.

What Makes You a Great Fit

• 5+ years of overall professional experience, including at least 3+ years of hands-on AI / Generative AI experience.
• Proven experience building and implementing AI agents in professional or business environments.
• Strong experience developing AI-powered workflows capable of performing multi-step tasks and interacting with business systems.
• Strong understanding of LLMs, Generative AI, prompt engineering, agent architecture, and agentic workflows.
• Experience integrating AI solutions with CRM, ERP, order-management, or other enterprise applications.
• Hands-on experience with Zoho CRM or similar CRM platforms is highly desirable.
• Good understanding of APIs, webhooks, system integrations, and third-party software connectivity.
• Proven ability to take AI solutions from concept → development → implementation → optimisation.
• Strong understanding of business processes and the ability to identify where AI can deliver measurable operational value.
• Experience with OpenAI, Claude, Gemini, or similar LLM APIs is an advantage.
• Experience with AI agent frameworks, orchestration platforms, or automation tools such as n8n, Make, Zapier, or Power Automate is desirable.
• Basic programming or scripting skills, particularly Python, are an advantage.
• Experience working with structured and unstructured business data.
• Exposure to D2C, e-commerce, retail, FMCG, distribution, supply chain, logistics, warehouse, or ERP environments is preferred.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.
• Ability to work hands-on, experiment rapidly, and translate emerging AI capabilities into practical business solutions.