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We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms & conditions. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field. Experience: Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions. Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure. Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards. Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements. Technical Skills: Proficient in programming languages such as Python, Java, or C++. Familiarity with data pipeline tools and frameworks Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices. Solid understanding of data architecture, data science, security, and privacy considerations in AI systems. Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc. Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc Soft Skills: Strong analytical and problem-solving skills. Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Leadership experience and the ability to work effectively in cross-functional teams. Detail-oriented and focused on delivering high-quality, scalable solutions. Data & Integration: Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines. Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware. Experience: 6 to 8 Years Preferred Qualifications: Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision. Knowledge of AI ethics and bias mitigation strategies. Terms and conditions Joining time frame: Immediate Terms and conditions: Joining time frame: maximum 4 weeks
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.
