
EY
Consultant - AI Software Engineer - Digital FAAS (Data & AI, GenAI, MLOps)
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 17/11/2025
Job overview
Date posted
03/10/2025
Location
Abu Dhabi, United Arab Emirates
Salary
Undisclosed
Compensation
Salary only
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
17/11/2025
Job description
Consultant ā AI Software Engineer within Financial Accounting & Advisory Services (FAAS) in Assurance, joining the Data & AI team to provide advisory services focused on AI Engineering and Generative AI (GenAI). Designs, builds, and operationalizes scalable AI solutions using modern MLOps pipelines and cloud-native technologies on Azure, AWS, and GCP; integrates large language models (LLMs), automates workflows with GenAI, and embeds AI capabilities into business processes. Works hands-on with Python, TensorFlow, PyTorch, LangChain, HuggingFace, and OpenAI APIs to build and fine-tune LLMs for use cases such as document summarization, chatbots, intelligent assistants, and code generation. Collaborates with data scientists, engineers, and business leaders to align AI solutions to strategic goals and deliver measurable business impact; manages up to two projects, supports timely delivery in compliance with regulatory requirements, executes the FAAS service delivery framework, coordinates with other service lines for integrated delivery, monitors performance against budget, tracks emerging AI trends, evaluates innovative AI/GenAI tools (e.g., Azure OpenAI, Google Vertex AI, AWS Bedrock), and supports go-to-market efforts. Role based in Abu Dhabi with remote support to MENA clients and travel as required; engages across domains such as Government, Healthcare, Financial Services, Retail, and Telecom while demonstrating proactivity, accountability, and results-driven execution.
Required skills
Key responsibilities
- Design, build, and operationalize scalable AI solutions using modern MLOps pipelines and cloud-native services (Azure, AWS, GCP).
- Integrate and fine-tune LLMs and implement GenAI applications (document summarization, chatbots, intelligent assistants, code generation).
- Embed AI capabilities into finance and business processes in line with FAAS objectives and regulatory requirements.
- Manage up to two projects, ensuring on-time delivery, quality, and adherence to the FAAS service delivery framework and budget.
- Collaborate with data scientists, engineers, and business leaders to define AI-driven strategies and translate business problems into AI solutions.
- Design AI/ML architectures and deploy production models with monitoring, versioning, and CI/CD within MLOps pipelines.
- Evaluate and pilot GenAI tools and platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock) and support go-to-market initiatives.
- Produce business-impact assessments, measure value realization, and report progress to senior stakeholders (Directors/Partners).
- Coordinate integrated service delivery with other service lines and support compliance in solution delivery.
- Stay current on AI/GenAI trends and contribute to thought leadership and offering development.
Experience & skills
- Bachelorās degree with approximately 3ā4 years of related work experience.
- At least 2 years of experience in a global consulting firm.
- Practical AI/ML development experience with Python, TensorFlow, and PyTorch.
- Hands-on experience with cloud platforms (Azure, AWS, GCP) and MLOps pipeline design and deployment.
- Experience building/fine-tuning LLMs and using frameworks/tools such as LangChain, HuggingFace, or OpenAI APIs.
- Exposure to GenAI use cases (document summarization, chatbots, intelligent assistants, code generation).
- Ability to translate complex business problems into AI solutions with measurable impact.
- Knowledge of data privacy, ethical AI, and responsible AI principles.
- Domain knowledge in one or more of Government, Healthcare, Financial Services, Retail, or Telecom.
- Flexibility and willingness to travel on short notice as necessary.
- Ideally: experience with Azure OpenAI, Google Vertex AI, or AWS Bedrock, and proficiency in Arabic.