AI Engineer - Associate

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• pwc Middle East · Careers

Now Hiring

Internal Firm Services — AI Centre of Excellence

DevOps and AI Engineer

Design and ship AI-powered products at the heart of PwC Middle East’s AI Factory — from RAG pipelines to agentic systems, built for scale across the region.

Line of Service Internal Firm Services

Function AI Centre of Excellence

Experience 1–3 years

Region Middle East

Apply now

Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the Middle East: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.

With offices in 152 countries and nearly 328,000 professionals globally, we help organisations and individuals create lasting value through Assurance, Tax and Advisory — bringing the collective knowledge of PwC’s global network to the region’s transformation journey.

40+ Years in region

12,000 People, Middle East

12 Countries covered

328K Professionals globally

About the team

Internal Firm Services (IFS) brings together the specialist functions that enable PwC Middle East to run, grow and transform — supporting our people, clients and business with the capabilities needed for the future of work. A career in IFS spans Human Capital, Finance, Technology & AI, Clients & Markets, Marketing & Communications, Risk & Quality, Partner Development, Office Management, and Transformation & Change.

The AI Centre of Excellence (AI CoE) is our central engine for AI strategy, product build, and scale. It governs standards and cost and risk controls, runs AI Factory squads to design and ship custom AI solutions and reusable frameworks (LLM and RAG stacks, integrations on Azure), and drives workforce transformation through training and upskilling. The CoE partners with Experience Design and adjacent technology teams, following a codified operating model for approvals and observability.

How you’ll contribute

As a DevOps and AI Engineer, you’ll work as part of a team of problem solvers — designing and building AI-powered products while guiding fellow engineers on quality and standards, from strategy to execution.

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Design, build, and ship AI-powered products — integrating machine learning models and large language models into production applications such as RAG pipelines, agentic systems, and AI-powered workflows.

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Develop backend services in Python for model inference, prompt orchestration, and pipeline management, exposed through RESTful APIs and microservices.

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Participate in design discussions and architectural reviews, and uphold coding standards.

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Translate conceptual ideas and business requirements into working solutions, and evaluate new tools, frameworks, and platforms for client use cases.

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Champion the effective and responsible use of AI-assisted coding tools to improve team productivity and quality.

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Collaborate on CI/CD pipelines and DevOps practices (Docker containerization, automation) for reliable delivery.

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Communicate clearly with technical and non-technical audiences, explaining complex topics in a simple way.

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Be able to conduct technical feasibility studies from business ideas.

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Stay up to date with emerging AI advancements and industry trends, and contribute to internal knowledge sharing, documentation, and reusable accelerators.

What you’ll bring

Experience

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• 1–3 years of professional software or AI engineering experience in an individual-contributor role.
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• Demonstrated experience building and shipping AI-powered products (RAG pipelines, agentic systems, AI-powered workflows).

Education & Certifications

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• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
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• Relevant Azure or Microsoft certifications are a plus.

Technical Skills

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• Strong proficiency in Python for backend development.
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• Experience integrating machine learning models or large language models into production applications.
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• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), computer vision, and popular LLM APIs (GPT, Claude, Gemini).
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• Front-end or full-stack capabilities; experience with React (Next.js) and Tailwind CSS is a plus.
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• Experience with RESTful APIs and microservices architecture.
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• Version control using Git; understanding of DevOps practices and Docker containerization.
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• Experience with cloud platforms (AWS, Azure, or GCP).

Attributes & Soft Skills

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• Strong problem-solving and analytical thinking.
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• Innovation mindset with a passion for emerging technologies.
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• Collaborative team player, able to work closely with technologists, researchers, and business stakeholders.
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• Self-motivated, adaptable, and comfortable with ambiguity in fast-paced environments.
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