AI and Business Process Automation Engineer
SKM Air Conditioning LLC · Sharjah, Sharjah Emirate, United Arab Emirates
قدّم وتابع مع أبلاي إيدجAbout UsSince 1974, S.K.M Air Conditioning LLC has been a trusted leader in HVAC manufacturing across the Middle East and beyond. With 2,000+ employees representing 30+ nationalities, SKM operates in 8+ countries and delivers innovative climate solutions to more than 30 global markets. Our growth is powered by our people, and we are committed to engineering excellence, innovation, and delivering superior customer value in everything we do.Why Join SKM?At SKM, you’ll be part of a dynamic, growth-driven organization where your work directly shapes our most important asset: our team. We value proactive partnership, a strategic mindset, and a people-first approach.Role OverviewThis role combines deep manufacturing domain expertise (60%) with strong AI technology skills (40%) to lead the design and deployment of Agentic AI solutions across Sales, Engineering, Planning, Procurement, Production, Inventory Management, Cost Control and other operational departments. The AI & Business Process Automation Specialist will identify high-impact automation opportunities through hands-on process analysis, design and implement AI agent workflows using Agentic AI frameworks, RAG architectures, and enterprise system integrations, and drive measurable business outcomes including cost reduction, lead time & cycle time improvement, and operational efficiency gains. Key ResponsibilitiesThe AI & Business Process Automation Engineer will undertake a range of tasks spanning manufacturing domain analysis and AI-driven automation, including:Conducting deep-dive process analysis across Engineering, Planning, Procurement, Production, Inventory Management and Cost Control— documenting end-to-end workflows, identifying pain points, manual bottlenecks, and decision points ripe for AI automation.Designing and building Agentic AI workflows — translating business process opportunities into agent specifications: defining what the agent should do, what data it needs via RAG, what systems it integrates with, and what decisions require human oversight.Implementing RAG architectures that connect AI agents to enterprise knowledge bases, SOPs, technical specifications, ERP data, and historical records for context-aware decision making.Building and managing integration touchpoints between AI agents and enterprise systems (Infor LN ERP, Power BI, Power Automate, SharePoint, email workflows) using REST APIs, MCP, webhooks, and connectors.Acting as the primary bridge between functional teams and the AI transformation initiative — building trust by demonstrating deep understanding of their daily challenges.Validating AI agent outputs against real-world business logic, defining acceptance criteria grounded in actual manufacturing operations, and establishing AI governance frameworks including audit trails and explain ability standards.Prioritizing automation opportunities based on business impact, feasibility, and implementation complexity — creating business cases with clear before/after metrics for each initiative.Running continuous improvement cycles — collecting feedback from end users, identifying agent failure modes, refining agent behavior, and staying current with emerging AI trends to drive innovation.Conducting workshops, demos, and training sessions to drive AI adoption across departments, and reporting progress, results, and roadmap to senior leadership with clear business impact metrics.Requirements3 - 8 years of experience working in manufacturing operations, supply chain, or industrial business processes, with hands-on exposure to at least 2–3 functions: Engineering, Planning, Inventory Management, Procurement, Production/Cost Control.Direct experience working with ERP systems in a manufacturing context (Infor LN strongly preferred; SAP or Oracle acceptable), including Power BI, Power Automate, and Power Apps.Skills & ExperienceDemonstrated hands-on experience with Agentic AI workflows, RAG implementations, or enterprise AI integration projects. Must be able to design agent specifications, define data requirements, and architect integration touchpoints.Comfortable with Python scripting, SQL, and API concepts for building automation workflows, data pipelines, and AI agent configurationsJoin UsAt SKM Air Conditioning LLC, you will be more than just a AI and Business Process Automation Engineer, you will be an architect of our workforce, directly enabling our mission to provide world-class HVAC solutions. If you are passionate about connecting talent with opportunity and want to build your career with an industry leader, we want to hear from you.🚀 Apply directly or send your CV to Jobs@skmaircon.com with the subject line KAI and Business Process Automation Engineer.