AI Automation Engineer

This role is for one of the Weekday's clients

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Salary range: Rs - Rs (ie INR 12 - 45 LPA)

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Min Experience : 3+ years

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Location: India (100% Remote)

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Employment Type: Full-Time Contractor

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Working Hours: 5:00 PM – 2:00 AM IST

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Department: AI & Automation

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Reporting To: Senior Manager – AI & Automation
\n We are looking for an experienced AI Automation Engineer to design, build, and scale automation solutions and AI-powered workflows across business operations. This is a highly hands-on role where you will work closely with internal stakeholders and external clients to identify process improvement opportunities, implement intelligent automation, and deploy AI agents that drive measurable operational efficiency.

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You will own projects end-to-end—from workflow discovery and process mapping to implementation, optimization, and ongoing enhancements. The ideal candidate combines operational thinking with expertise in no-code/low-code automation platforms and modern AI tools.

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Requirements

Key Responsibilities Process Analysis & Automation Strategy \n

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• Analyze and document existing business workflows across operations, sales, HR, customer support, and other functions.
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• Identify automation opportunities by evaluating process complexity, frequency, and business impact.
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• Develop and prioritize automation roadmaps focused on efficiency, scalability, and business value.
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Workflow Automation Development \n

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• Design, build, test, and maintain automated workflows using platforms such as n8n, Zapier, Make, or similar no-code/low-code tools.
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• Integrate business systems including CRM platforms, databases, communication tools, and internal applications.
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• Implement automated notifications, approvals, routing mechanisms, and operational workflows.
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System Integration & Data Flow Management \n

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• Connect multiple business platforms through APIs, webhooks, and automation frameworks.
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• Ensure seamless data synchronization and process orchestration across systems.
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• Develop scalable integrations that improve operational visibility and reduce manual effort.
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AI Agent & Intelligence Solutions \n

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• Design and deploy AI-powered agents using platforms such as OpenAI, Claude, and other large language model technologies.
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• Build AI-driven research, analysis, and intelligence workflows.
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• Develop automated knowledge systems, data enrichment processes, and decision-support tools.
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• Create AI solutions for both internal teams and customer-facing use cases.
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Scoring & Decision Frameworks \n

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• Build rule-based workflows and intelligent decision engines.
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• Implement lead scoring, prioritization models, routing logic, escalation mechanisms, and automated alerts.
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• Develop business rules that improve operational efficiency and customer engagement.
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Client-Facing Solution Delivery \n

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• Collaborate directly with clients to understand operational challenges and business objectives.
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• Design and deliver customized automation and AI solutions tailored to client needs.
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• Present recommendations, demonstrate solutions, and support successful adoption.
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Documentation & Enablement \n

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• Create comprehensive process documentation, workflow diagrams, and implementation guides.
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• Ensure internal teams and clients can effectively manage and utilize delivered solutions.
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• Establish best practices and reusable frameworks for future automation initiatives.
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Success Metrics First 90 Days \n

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• Complete workflow analysis and process mapping across key business functions.
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• Deliver multiple quick-win automation initiatives.
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• Successfully deploy initial AI-powered automation solutions.
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Within 6 Months \n

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• Establish a prioritized automation roadmap.
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• Deliver client-facing AI and automation projects end-to-end.
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• Create reusable documentation, templates, and operational playbooks.
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Within 12 Months \n

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• Build a scalable automation and AI ecosystem supporting business growth.
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• Enable significant productivity improvements through intelligent automation.
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• Establish repeatable frameworks for automation and AI solution delivery.
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Required Qualifications \n

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• 3–5 years of hands-on experience building automation workflows using no-code/low-code platforms such as n8n, Zapier, Make, or similar tools.
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• Experience developing AI agents, AI workflows, or intelligent automation solutions using OpenAI, Claude, or comparable platforms.
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• Strong understanding of workflow design, process optimization, and operational efficiency.
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• Experience integrating multiple business systems and applications.
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• Proven ability to design rule-based workflows, scoring models, and decision automation frameworks.
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• Strong stakeholder management and communication skills.
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• Portfolio showcasing automation, AI agent, or workflow implementation projects.
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Preferred Qualifications \n

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• Familiarity with APIs, webhooks, JSON, and basic scripting.
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• Experience with data enrichment and intelligence platforms.
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• Background in Revenue Operations (RevOps), Sales Operations (SalesOps), Business Operations, or Process Improvement.
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• Experience working with CRM systems, marketing automation platforms, and business intelligence tools.
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• Exposure to AI-powered productivity tools and enterprise automation ecosystems.
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Key Skills Must-Have Skills \n

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• No-Code Automation
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• Low-Code Development
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• AI Agents
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• Workflow Automation
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• n8n
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• Zapier
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• OpenAI
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• Claude
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• Process Mapping
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• Business Process Automation
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Good-to-Have Skills \n

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• APIs & Webhooks
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• Data Enrichment
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• CRM Integrations
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• RevOps
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• SalesOps
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• Workflow Orchestration
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• Business Intelligence
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• Automation Strategy
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What Makes This Opportunity Unique \n

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• Own and shape automation and AI initiatives from strategy through implementation.
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• Work directly with business stakeholders and clients to solve real operational challenges.
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• Build impactful AI-driven systems that create measurable business outcomes.
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• Gain significant ownership, autonomy, and exposure to cutting-edge automation technologies.
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• Help define and scale the future of AI-powered operations within a fast-growing environment.
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