AI Engineer – Agentic AI & Enterprise Automation

NAFFCO

Job Overview

Location

Dubai, United Arab Emirates

Employment Type

Full-time

Work Arrangement

On-site

Sector

Information Technology & Software

Experience Level

Mid-level (3-5 years)

Application Deadline

June 25, 2026

About the Company

NAFFCO is a prominent leader in the fire protection industry, recognized globally for its comprehensive range of safety solutions. Headquartered in Dubai, UAE, the company is dedicated to innovation and excellence, providing high-quality products and services that ensure safety and security across various sectors. With a commitment to leveraging cutting-edge technology, NAFFCO is at the forefront of integrating advanced solutions to enhance its operations and offerings. The company's focus on research and development, coupled with a strong emphasis on customer satisfaction, has cemented its reputation as a trusted partner in fire safety worldwide. NAFFCO's expansive reach and dedication to quality make it a dynamic environment for professionals seeking to contribute to a mission-driven organization.

Job Description

NAFFCO is seeking a forward-thinking AI Engineer to spearhead the integration and adoption of agentic AI technologies across our organization.

In this pivotal role, you will be instrumental in designing, developing, and implementing sophisticated enterprise AI solutions. These solutions will aim to significantly enhance productivity, streamline automation, improve decision-making processes, and boost operational efficiency across our industrial, manufacturing, corporate, and support functions.

You will leverage your hands-on experience with modern AI ecosystems, including OpenAI platforms, the Anthropic Claude ecosystem, and Microsoft Copilot Studio. Your expertise in enterprise architecture, data lakes, AI agents, LLM integration, and business transformation will be crucial for success.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

AI/ML EngineeringEnterprise AutomationDigital TransformationMicrosoft Copilot StudioAzure OpenAI ServiceAnthropic Claude ecosystemLLM integrationPrompt EngineeringAI orchestrationAutonomous AgentsPythonREST APIsLangChainSemantic KernelVector databasesEmbeddingsAI workflow automationData lake architectureETL pipelinesEnterprise integrationsERP systemsCRM systemsMicrosoft AzureAWSGoogle CloudCybersecurityGovernanceComplianceEnterprise ArchitectureRetrieval-Augmented Generation (RAG)

Key Responsibilities

Design and implement enterprise agentic AI solutions across key functions, including manufacturing, finance, HR, procurement, supply chain, sales, customer service, and industrial operations.
Develop AI assistants, copilots, autonomous agents, and workflow automation using Microsoft Copilot Studio, Azure OpenAI Service, Anthropic Claude ecosystem, LLM APIs, and orchestration frameworks.
Lead enterprise data lake and AI-ready platform architecture, integrating ERP, CRM, manufacturing, IoT, and operational systems.
Partner with stakeholders to identify, evaluate, prioritize, and implement AI use cases with measurable ROI.
Build secure AI frameworks aligned with cybersecurity, governance, compliance, and enterprise standards.
Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.
Design AI agents for autonomous decision support, workflow execution, predictive analysis, and recommendations.
Establish AI governance standards, responsible AI practices, model monitoring, and prompt engineering standards.
Collaborate with infrastructure, cloud, cybersecurity, and application teams to deploy scalable AI environments.
Run AI innovation workshops, enable users, and build internal AI capabilities.
Support executive leadership in defining enterprise AI strategy and the product roadmap.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
3+ years of experience in AI/ML engineering, enterprise automation, or digital transformation.
Strong hands-on experience with Microsoft Copilot Studio, Azure OpenAI Service, Anthropic Claude ecosystem, LLM integration and prompt engineering, AI orchestration, and autonomous agents.
Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.
Understanding of data lake architecture, ETL pipelines, structured/unstructured processing, and enterprise integrations.
Experience integrating AI solutions with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM, and industrial systems.
Familiarity with Microsoft Azure, AWS, or Google Cloud.
Knowledge of industrial/manufacturing environments, IoT data, predictive maintenance, and operational analytics is highly preferred.
Experience with AI governance, cybersecurity, compliance, and enterprise architecture.
Strong communication and stakeholder management skills.

How to Apply

Click the 'Apply for this job' button on the job posting page.

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The UAE's burgeoning technology sector is rapidly integrating advanced AI solutions to enhance operational efficiency and drive innovation. This role is pivotal in leading the charge for agentic AI adoption within a large enterprise. You will architect and deploy sophisticated AI systems, focusing on autonomous agents, LLM integration, and enterprise-wide automation. Key technical areas include OpenAI platforms, Azure OpenAI Service, Anthropic Claude, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Your impact will directly influence business ROI by optimizing productivity, decision-making, and operational excellence across diverse functions, signaling a significant opportunity for leadership in AI strategy and implementation.