AI Software Engineer – Financial Advisory – Cairo

Job Summary

This role in EY’s Financial Accounting & Advisory Services (FAAS) focuses on AI Engineering and Generative AI within the Data & AI team, supporting MENA clients remotely from Jordan and Egypt. The position involves designing and operationalizing scalable AI solutions, integrating large language models, and embedding AI into business processes.

Responsibilities

• Manage up to two projects alongside senior leaders to define AI-driven FAAS strategies addressing risk and maximizing value from emerging technologies.
• Help clients realize business value through AI use-cases including LLMs, GenAI applications, and MLOps implementation.
• Ensure timely delivery compliant with regulatory requirements and effective execution of the FAAS service delivery framework.
• Collaborate with other service lines for integrated service delivery and monitor engagement team performance against budget.
• Stay updated on emerging AI trends and evaluate innovative AI/GenAI tools.
• Support business development and go-to-market efforts in AI and GenAI.
• Work with data scientists, engineers, and business leaders to align AI solutions with strategic goals and deliver business impact.
• Travel as required based on business needs.

Requirements

• Bachelor’s degree with approximately 4 to 5 years of related work experience.
• At least 5+ years of experience in a global consulting firm.
• Practical experience in AI and ML development using Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP).
• Hands-on experience building and fine-tuning LLMs using frameworks like LangChain, HuggingFace, or OpenAI APIs.
• Experience designing MLOps pipelines, AI solution architecture, and deploying AI models in production.
• Exposure to GenAI use cases such as document summarization, chatbots, intelligent assistants, and code generation.
• Domain knowledge in Government, Healthcare, Financial Services, Retail, or Telecom.
• Ability to translate complex business problems into AI solutions with measurable impact.
• Knowledge of data privacy, ethical AI, and responsible AI principles.
• Flexibility and willingness to travel on short notice.
• Experience with GenAI tooling ecosystems such as Azure OpenAI, Google Vertex AI, or AWS Bedrock is a plus.
• Proficiency in Arabic is desirable.

What the company offers

• Competitive compensation package based on performance.
• Continuous learning opportunities and tailored coaching.
• Flexibility and tools to make a meaningful impact.
• Leadership development through insights and coaching.
• Diverse and inclusive culture empowering employees.

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