EY
EY

EY is a global professional services firm offering audit, tax, consulting, and advisory expertise. Its teams help organizations address complex business challenges, strengthen trust in financial reporting and markets, and use data and technology to support transformation.

The firm provides services including corporate finance advisory, transaction strategy, and technology consulting. EY works with clients across areas such as healthcare, legal services, marketing, energy, finance, and government, with sustainability and innovation informing many of its solutions.

AI Software Engineer, Financial Advisory

Build and deploy GenAI, LLM, and MLOps solutions for EY financial advisory clients across the Middle East and North Africa. Contribute to AI strategy, production delivery, and business development.

Description

  • Advise clients on AI engineering and generative AI.
  • Design, build, and run scalable AI solutions using MLOps pipelines and cloud-native platforms.
  • Integrate large language models and automate workflows with generative AI.
  • Add AI capabilities to business processes.
  • Work with data scientists, engineers, and business leaders to align solutions with strategic objectives.
  • Manage up to two projects in collaboration with Directors and Partners.
  • Help clients develop AI-driven FAAS strategies to address risk and maximize value.
  • Deliver AI use cases, including LLMs, generative AI applications, and MLOps implementations.
  • Deliver work on schedule and in line with regulatory requirements.
  • Apply the FAAS service delivery framework and coordinate with other service lines.
  • Track engagement team performance against budget.
  • Assess emerging AI trends and new AI and generative AI tools.
  • Contribute to go-to-market and business development activities.
  • Mentor developing talent at EY.

Requirements

  • Hold a bachelor's degree.
  • Have approximately four to five years of related work experience.
  • Have at least five years of experience at a global consulting firm.
  • Have practical AI and machine learning development experience with Python, TensorFlow, PyTorch, and cloud platforms such as Azure, AWS, or GCP.
  • Have hands-on experience building and fine-tuning LLMs.
  • Have experience with LangChain, Hugging Face, or OpenAI APIs.
  • Have experience designing MLOps pipelines and AI solution architectures.
  • Have experience deploying AI models to production.
  • Have exposure to generative AI applications such as document summarization, chatbots, intelligent assistants, and code generation.
  • Bring domain knowledge in government, healthcare, financial services, retail, or telecommunications.
  • Be able to translate complex business problems into AI solutions with measurable impact.
  • Understand data privacy, ethical AI, and responsible AI principles.
  • Be flexible and willing to travel at short notice.
  • A track record at a leading consulting firm is preferred.
  • Experience with Azure OpenAI, Google Vertex AI, or AWS Bedrock is preferred.
  • Arabic proficiency is preferred.

Benefits

  • Performance-based competitive compensation package.
  • Ongoing learning and professional development.
  • Tools and flexibility to make a meaningful impact.
  • Access to insights, coaching, and leadership development.
  • A diverse and inclusive culture.

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