AI Software Engineer – Financial Advisory Full Time Hybrid

Job Overview

EY is looking for a seasoned Financial Advisory AI Software Engineer to join its Data & AI team in Financial Accounting & Advisory Services (FAAS). This opportunity focuses on developing practical Artificial Intelligence (AI) and Generative AI (GenAI) solutions that help organizations improve financial processes, strengthen decision-making, and accelerate digital transformation jobs in Dubai.

The successful candidate will design, develop, and deploy scalable AI applications using modern machine learning frameworks, cloud technologies, and MLOps practices. The position also involves working with multidisciplinary teams to translate business requirements into reliable AI solutions that deliver measurable results.

The role supports client engagements across the Middle East and North Africa (MENA), with regional delivery collaboration involving Riyadh and EY’s Centers of Excellence in Jordan and Egypt. Business travel may be required gulf jobs.

Key Responsibilities

• Design and implement AI and GenAI solutions that address client challenges in financial advisory and business operations.
• Develop scalable AI applications using large language models (LLMs), machine learning technologies, and cloud-native architectures.
• Build and maintain MLOps pipelines to support model deployment, monitoring, and production operations.
• Identify opportunities to automate business workflows and integrate AI capabilities into existing processes Python.
• Manage up to two client projects while collaborating with Directors, Partners, and other senior stakeholders.
• Help clients establish AI-driven FAAS strategies that balance business value, technology adoption, and associated risks.
• Coordinate with data scientists, software engineers, business teams, and other EY service lines to deliver integrated solutions.
• Oversee project timelines, delivery quality, regulatory considerations, team performance, and engagement budgets.
• Evaluate new AI technology and help create new business prospects and advisory services.
• Clearly convey technical recommendations to stakeholders and clients with varying professional backgrounds.
  

  Required Qualifications, Skills & Experience

  Bachelor’s degree in a relevant discipline, with approximately 4–5 years of related professional experience.

• At least 5 years of demonstrated experience working within a global consulting firm, as specified in the original vacancy.
• Practical AI and machine learning development experience using Python, TensorFlow, and PyTorch.
• Working familiarity with major cloud platforms, including Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
• Hands-on experience developing or fine-tuning LLMs using technologies such as LangChain, Hugging Face, or OpenAI APIs.
• Strong understanding of AI solution architecture, MLOps workflows, and production-level model deployment.
• Exposure to GenAI applications, including intelligent assistants, chatbots, document summarization, and code generation.
• Relevant industry knowledge in at least one sector, such as government, healthcare, financial services, retail, or telecommunications.
• Ability to convert complex business requirements into practical AI solutions with measurable outcomes.
• Knowledge of data privacy, ethical AI, and responsible AI practices.
• Excellent communication, problem-solving, stakeholder management, and organizational skills.
• Willingness to travel at short notice when required by business or client needs.
• Experience collaborating with multidisciplinary teams to develop AI solutions aligned with client objectives and business priorities.
• Ability to manage multiple consulting engagements while maintaining delivery quality, project timelines, and budget expectations.
• Familiarity with emerging GenAI platforms and tools, including Azure OpenAI, Google Vertex AI, or AWS Bedrock, is advantageous.
• Strong analytical capabilities to assess AI use cases, evaluate technical feasibility, and recommend appropriate implementation approaches.
• A proactive, results-driven mindset with the ability to support business development activities, contribute to innovative service offerings, and mentor junior team members.

Additional advantages include:

• Previous experience with a leading consulting organization.
• Familiarity with Azure OpenAI, Google Vertex AI, or AWS Bedrock.
• Proficiency in Arabic.

EY provides a competitive, performance-based compensation package alongside opportunities for continuous professional development. Structured learning, personalized coaching, leadership development, adaptable methods for career advancement, and a varied workplace are all advantageous to employees .

How to Apply

Candidates with relevant AI engineering, GenAI development, MLOps, and consulting experience are encouraged to apply through EY’s official careers platform. Apply Now