AI Engineer – Agentic AI & Enterprise Automation

NAFFCO; Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

NAFFCO in Dubai seeks 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 boost productivity, automation, decision-making, and operational efficiency across manufacturing, finance, HR, procurement, and operations.

You will work hands-on with modern AI ecosystems (Microsoft Copilot Studio, Azure OpenAI, Anthropic Claude) and lead data lake and AI-ready platform architecture, ensuring

Qualifications

• Bachelor's degree in CS/AI/DS/SE or related field.
• 3+ years of AI/ML engineering, enterprise automation, or digital transformation.
• Hands-on with Microsoft Copilot Studio, Azure OpenAI, Anthropic Claude, LLM integration, prompts.
• Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.
• Understanding of data lake architecture and enterprise integrations.
• Experience integrating AI with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM.
• Familiarity with cloud platforms (Azure, AWS, or Google Cloud).
• Knowledge of industrial environments, IoT data, predictive analytics is preferred.
• Experience with AI governance, cybersecurity, compliance, and enterprise architecture.
• Strong communication and stakeholder management skills.

Responsibilities

• Design and implement enterprise agentic AI solutions across key functions (manufacturing, finance, HR, procurement, supply chain, sales, customer service, and operations).
• Develop AI assistants, copilots, autonomous agents, and workflow automation using Microsoft Copilot Studio, Azure OpenAI, Anthropic Claude.
• Lead enterprise data lake and AI-ready platform architecture integrating ERP, CRM, manufacturing, IoT, and operations.
• 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 knowledge bases and data sources.
• Design AI agents for autonomous decision support, workflow execution, predictive analytics, 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.

Skills

Python

REST APIs

LangChain

Semantic Kernel

Vector databases

Embeddings

AI workflow automation

LLM integration

Prompt engineering

AI orchestration

Autonomous agents

Microsoft Copilot Studio

Azure OpenAI Service

Anthropic Claude

Stakeholder management

Communication

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field

Tools

Microsoft Copilot Studio

Azure OpenAI Service

Anthropic Claude ecosystem

LangChain

Semantic Kernel

Vector databases

Job description

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.