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Job Description: AI Software Engineer Job Location: UAE Role Summary The AI Software Engineer will design, develop, and implement AI-enabled solutions that support data management, governance, and automation initiatives across enterprise workstreams. This role is responsible for building scalable AI applications and services that deliver metadata enrichment, data profiling, anomaly detection, duplicate detection, rule recommendations, remediation support, and intelligent automation within an approved sovereign AI environment. The ideal candidate combines strong software engineering practices with expertise in AI/ML, Generative AI, and data engineering to deliver production-grade AI solutions. Key ResponsibilitiesAI Solution Development Design, develop, test, and deploy AI-powered applications and microservices Build scalable AI and machine learning solutions to automate business and data management processes Develop reusable AI frameworks, APIs, and services for enterprise-wide adoption Optimize AI models and applications for performance, reliability, and scalability Metadata Enrichment & Data Intelligence Develop AI-driven metadata enrichment capabilities to improve data discoverability and governance Build intelligent data profiling solutions to identify patterns, quality issues, and data relationships Implement automated classification and tagging mechanisms for enterprise datasets Anomaly & Duplicate Detection Design and implement machine learning models for anomaly detection and data quality monitoring Develop duplicate detection and entity-matching algorithms to improve data consistency Continuously evaluate and enhance model accuracy and effectiveness AI-Assisted Rule Recommendation & Remediation Build AI capabilities that suggest and optimize data quality rules Implement recommendation engines that assist users in resolving data issues Develop intelligent remediation workflows and automated corrective actions Generative AI & Automation Develop LLM-powered solutions and AI agents to streamline business processes Implement prompt engineering, retrieval-augmented generation (RAG), and AI workflow orchestration Integrate Generative AI services into enterprise applications and platforms Sovereign AI & Compliance Ensure AI solutions operate within approved sovereign AI and security environments Follow responsible AI, privacy, governance, and compliance standards Implement security controls, monitoring, and auditability for AI applications Collaboration & Delivery Work closely with solution architects, data engineers, product owners, and business stakeholders Translate business requirements into technical AI solutions Participate in code reviews, testing, deployment, and production support activities Maintain technical documentation and promote engineering best practices Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field 5+ years of software engineering experience with at least 2+ years developing AI/ML solutions Experience delivering enterprise-scale AI applications in production environments Strong understanding of software development lifecycle (SDLC), CI/CD, and DevOps practices Technical SkillsProgramming & Engineering Python (mandatory) Java, C#, or Node.js REST APIs and Microservices Architecture Git, DevOps, CI/CD Pipelines AI & Machine Learning Scikit-learn, TensorFlow, PyTorch Machine Learning Model Development and Deployment Anomaly Detection and Pattern Recognition NLP and Text Analytics Generative AI Azure OpenAI Service / OpenAI APIs Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agents and Workflow Automation Data Technologies SQL and NoSQL Databases Data Profiling and Data Quality Frameworks Data Governance and Metadata Management Tools ETL/ELT and Data Engineering Concepts Cloud & Platforms Microsoft Azure (Preferred) Azure AI Foundry Azure Machine Learning Azure Databricks Containerization (Docker/Kubernetes) Preferred Qualifications Experience working in regulated, government, or sovereign cloud environments Knowledge of data governance, data quality, and master data management Microsoft Azure AI Engineer Associate (AI-102) or equivalent certification Experience implementing Responsible AI and AI Governance frameworks Key Competencies Strong software engineering and system design skills Problem-solving and analytical thinking Ability to translate business needs into AI solutions Effective stakeholder communication Innovation mindset with focus on automation and continuous improvement Strong collaboration and teamwork skills
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.