AI Engineer – Agentic AI & Enterprise Automation
NAFFCO Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at NAFFCO. Dubai.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build agentic AI solutions and workflow automation for functions such as manufacturing, finance and supply chain
- Connect data platforms with ERP, CRM, manufacturing, IoT and operational systems to support AI applications
- Create RAG tools for enterprise knowledge and operational data, plus agents for decisions and workflow execution
- Set AI governance, monitoring and prompt standards, and work with technical teams on secure, scalable deployment
- Find and rank AI use cases with stakeholders, run workshops, and help shape the AI roadmap
What you bring
- A degree in computer science, AI, data science, software engineering or a related discipline
- At least three years in AI/ML engineering, enterprise automation or digital transformation
- Hands-on work with Copilot Studio, Azure OpenAI, Claude, LLM integration, prompt engineering and agent orchestration
- Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases and AI workflow automation
Who this fits
This mid-level role suits an engineer who can build enterprise AI systems and work across business and technical teams. It is based in Dubai, United Arab Emirates.
From the employer
Job Summary
We are seeking an AI Engineer to lead the introduction and adoption of agentic AI technologies across the group. You will design, develop, and implement enterprise AI solutions that improve productivity, automation, decision-making, and operational efficiency across industrial, manufacturing, corporate, and support functions.
You will have hands-on experience with modern AI ecosystems, including OpenAI platforms, the Anthropic Claude ecosystem, and Microsoft Copilot Studio. You will bring expertise in enterprise architecture, data lakes, AI agents, LLM integration, and business transformation.
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.
Technical Skills & Requirements
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.
Preferred Skills
Experience in manufacturing or industrial sectors.
Experience with AI agents, multi-agent frameworks, and autonomous workflow systems.
Knowledge of Power Platform, Power Automate, Fabric, Databricks, and enterprise analytics platforms.
AI certifications from Microsoft, OpenAI, or other leading AI platforms are an advantage.