Head of AI Enablement

Summary

Join a leading FinTech company in Dubai as their Head of AI Enablement, leading the transformation of a global engineering organization into an AI-native powerhouse. Drive the integration of large language models (LLMs) across all phases of the software development lifecycle to double team productivity and significantly accelerate delivery timelines. You will integrate AI into the SDLC, streamline Dev Workflows, drive DevOps Automation, measure AI performance gains, build AI-First Internal Tools, and lead on AI Integration. Educate engineering leaders on AI-first development models, tooling, and productivity frameworks. This role offers a vibrant work culture, opportunities for professional advancement, flexible work arrangements, and potential for international work exposure.

Requirements

• 5+ years of experience in AI/ML engineering, developer tooling, or AI-first product environments
• Proven experience deploying LLM agents and tools into real-world engineering or product organizations
• Deep expertise with modern AI ecosystems, including: LangChain
• OpenRouter
• Retrieval-Augmented Generation (RAG) pipelines
• OpenWebUI and other dev-facing AI interfaces
• Background in or strong familiarity with AI-native companies
• Hands-on ability to own strategy and execution: from vision to POCs to full deployment
• Strong communication and stakeholder management skills across technical and business audiences

Responsibilities

• Integrate AI into the SDLC by automating key engineering processes—including requirements gathering, design, coding, testing, and deployment—using tools like OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based systems
• Streamline Dev Workflows by embedding LLMs and RAG pipelines into daily development operations for smarter, faster delivery
• Drive DevOps Automation by partnering with DevOps and SaaS leadership to fully automate onboarding, configuration, and support tasks
• Measure What Matters by collaborating with Internal Audit to track AI performance gains and quantify automation ROI
• Build AI-First Internal Tools by developing intelligent tools like prompt libraries, test generators, RAG-powered knowledge bots, and automated documentation writers
• Lead on AI Integration by providing hands-on technical leadership in AI/LLM strategy—covering APIs, prompt design, and inference cost management
• Enable the Organisation by educating engineering leaders on AI-first development models, tooling, and productivity frameworks

Preferred Qualifications

• Excellent analytical, organizational, and communication skills
• High attention to detail and ability to work independently

Benefits

• A vibrant and innovative work culture encouraging creativity and teamwork
• Vast opportunities for professional advancement and skill enhancement
• Flexible work arrangements and the potential for international work exposure
• Permanent contract or B2B contract