AI Software Engineer – Financial Advisory

• Provide advisory services focused on AI Engineering and Generative AI
• Design, build, and operationalize scalable AI solutions using modern MLOps pipelines and cloud-native technologies
• Integrate large language models and automate workflows with GenAI
• Embed AI capabilities into business processes
• Collaborate with data scientists, engineers, and business leaders to align AI solutions with strategic goals
• Manage up to two projects alongside Directors and Partners
• Enable clients to define AI-driven FAAS strategies addressing risk and maximizing value
• Help clients realize business value through LLM, GenAI, and MLOps use cases
• Ensure timely delivery in compliance with regulatory requirements
• Execute the FAAS service delivery framework
• Work with other service lines for integrated service delivery
• Monitor engagement team performance against the budget
• Track emerging AI trends and evaluate innovative AI/GenAI tools
• Support go-to-market and business development efforts
• Mentor the next generation of talent within EY
• Travel as required for business needs

• A bachelor's degree
• Approximately 4 to 5 years of related work experience
• At least 5+ years of work experience in a global consulting firm
• Practical experience in AI and ML development with Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP)
• Hands-on experience building and fine-tuning LLMs
• Experience with LangChain, HuggingFace, or OpenAI APIs
• Experience designing MLOps pipelines and AI solution architecture
• Experience 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
• Proficiency in Arabic language is advantageous/preferred
• Experience with Azure OpenAI, Google Vertex AI, or AWS Bedrock is advantageous/preferred

• Competitive compensation package based on performance and value brought to the business
• Continuous learning and professional development
• Tools and flexibility to make a meaningful impact
• Insights, coaching, and confidence-building leadership development
• Diverse and inclusive culture
• Individually tailored coaching
• World-class learning
• Ongoing professional development through diverse experiences