Artificial Intelligence Engineer

Overview – KPMG Middle East

KPMG has grown to become one of the largest professional service providers in the Saudi Levant Cluster having three lines of services: audit, tax, and advisory. Currently, KPMG’s ME Cluster workforce is over 5,000\. With ambitious growth objectives, we are continuously looking for talent various functions and levels.

KPMG operates through an experienced leadership with dedicated regional teams, which enables our network of professional talent, our technologies and our products and solutions to quickly come together to meet clients’ needs. Our company’s vision is to be recognized as a truly transformed firm, trusted by our people, our clients, and our society. We value the fresh perspective that experienced professionals can bring.

Whether you are currently working in industry, the public sector, a smaller firm, or another 'Big Four' organization, you can expect to make a difference from day one

Job Summary:

We are looking for an experienced software engineer who has moved into applied AI. This is an engineering role: the Senior AI Engineer designs, builds, and ships production-grade AI solutions — intelligent applications, conversational agents, and automation — to clean engineering standards, then operates and improves them once live. The successful candidate brings the discipline of a strong software developer (clean code, sound system design, testing, version control, CI/CD) and applies it to generative AI and large language models within an enterprise Microsoft environment, while ensuring alignment with KPMG security, data-privacy, and responsible-AI standards.

Duties and Responsibilities:

• Design, build, and ship production-grade AI applications, conversational agents, and automation, owning the full lifecycle from solution design through deployment and support.
• Write clean, testable, maintainable code and apply sound software-engineering practice — modular design, code review, version control, automated testing, and CI/CD.
• Build and integrate LLM-powered features using techniques such as retrieval-augmented generation (RAG), prompt engineering, function/tool calling, and agent orchestration.
• Integrate AI solutions with enterprise systems and the Microsoft 365 / Power Platform ecosystem via REST APIs, connectors, and event-driven workflows.
• Partner with stakeholders to identify high-value AI use cases and translate business requirements into well-scoped technical solutions.
• Monitor, troubleshoot, and continuously improve deployed solutions — covering reliability, latency, cost, and output quality.
• Ensure compliance with KPMG security, data-privacy, and AI-governance standards, including regional data-protection requirements.
• Maintain clear technical documentation and contribute to engineering standards, reusable components, and continuous improvement.

Qualifications:

Education \& Certifications

• Bachelor’s degree in Computer Science, Software Engineering, AI, Data Science, or a related discipline.
• Relevant AI, cloud, or Microsoft certifications (e.g. Azure AI Engineer, Azure Developer) are an advantage.

Experience \& Skills — Essential

A software engineer who builds AI systems — not a researcher who occasionally codes.

• Engineering foundation:

4–6 years of professional software engineering experience, with recent, hands-on delivery of AI or LLM-powered solutions.

• Programming:

Strong proficiency in Python (and ideally one other language such as C#, TypeScript, or JavaScript), with solid command of data structures, APIs, and clean-code practice.

• Applied GenAI:

Practical experience building applications with Generative AI, Large Language Models, and AI APIs — including RAG, prompt engineering, and orchestration / agent frameworks.

• Integration \& delivery:

Designing and consuming REST APIs, integrating across systems, and working with version control (Git), CI/CD pipelines, and containers.

• Cloud:

Hands-on experience with Microsoft Azure and Azure OpenAI, deploying and operating solutions in a cloud environment.

• Ways of working:

Strong analytical, problem-solving, and communication skills, with the ability to work directly with business stakeholders.

Experience \& Skills — Preferred

• Microsoft Copilot Studio, Power Automate, Power Apps, and Dataverse (Power Platform) for building and integrating enterprise agents and automation.
• Azure AI Services and the broader Azure AI / Copilot tooling stack.
• Vector databases and embeddings-based retrieval; LLM evaluation and output-quality monitoring.
• Data-engineering and MLOps / LLMOps practices for deploying and maintaining AI in production.
• Classical ML and frameworks such as PyTorch or TensorFlow (useful, not central to this role).
• AI governance and responsible-AI practice, ideally with awareness of regional data-protection regimes (e.g. Jordan’s Personal Data Protection Law).

What we Offer:

KPMG supports equal opportunities for all prospected candidates. We commit to provide personal and professional development for all our employees. We operate in a friendly supportive environment. We respect each other and draw strength from our differences. We prioritize the employee well-being by adapting Pioneer ways for work live balance.