AI Engineer - Associate

About Us   

With offices in 152 countries and nearly 328,000 professionals, we are one of the world’s leading professional services networks, helping organisations and individuals create lasting value through Assurance, Tax and Advisory services. For over 40 years, we have contributed to the Middle East’s transformation journey, partnering with governments and businesses to deliver sustainable solutions. Today, more than 12,000 of us across Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, Palestine, Qatar, Saudi Arabia and the UAE are shaping the region’s future.   

Line of Service Overview   

Business Enablement Solutions (BES) brings together the specialist functions that enable PwC Middle East to operate, grow and deliver on its strategic ambitions. 

Our teams span People and Talent, Finance, Technology and AI, Risk and Quality, Business Development, Communications and Brand, Leadership Support, Operations, Transformation and Workplace Services. Together, we enable our people to do their best work, strengthen how our business operates and support our client-facing teams to deliver for our clients. 

As a human-led, tech-powered organisation, we're using data, technology and AI to simplify how we work, drive innovation and support the continued growth and transformation of PwC Middle East. A career in BES gives you the opportunity to be part of that change. 

Enabling growth. Delivering excellence. 

Business Unit Overview  

The Chief Technology & AI Office powers PwC Middle East’s One Firm Tech and AI ambition by translating strategic priorities into scalable, business led AI solutions that improve how the firm works, serves clients, and creates value. The CTAIO operates end-to-end across the AI lifecycle, from opportunity shaping and solution design to deployment, adoption, change management, and value realisation. The office provides orchestration, technical fluency, governance, and feedback loops needed to turn innovation into reusable assets, measurable commercial outcomes, and lasting competitive advantage.      

How You’ll Contribute   

As an AI Engineer, you'll work as part of the Labs Practice to design, develop, and support AI driven prototypes, demos, and experimental solutions. You'll help translate conceptual ideas into technically feasible working solutions that can be used for client engagements, lab showcases, workshops, internal events, and thought leadership. Responsibilities include but are not limited to:  

• Assist in building and testing AI-powered prototypes and demos under the guidance of senior engineers.  

• Experiment with new tools, frameworks, and platforms and share findings with the team.  

• Help translate conceptual ideas into working components of larger demonstrations.  

• Participate in ideation sessions, design sprints, and innovation workshops.  

• Support client engagements, workshops, and experience center tours alongside senior team members.  

• Support the setup, preparation, and reset of the lab space for client visits, tours, workshops, and internal events.  

• Ensure lab equipment, devices, and prototyping materials are properly stored, maintained, and ready for use.  

• Develop your ability to explain technical concepts clearly to non-technical audiences.  

• Stay curious about emerging technologies, AI advancements, and industry trends.  

• Contribute to internal knowledge sharing, documentation, and research initiatives.  

• Including such other duties that may be assigned to you by your manager.  

What You’ll Bring  

• 0–3 years of professional experience as a Software Engineer, or a strong portfolio of academic, personal, or open-source projects demonstrating hands-on ability. New graduates with compelling project work are encouraged to apply.  

• Bachelor's degree in computer science, software engineering, or a related technical field.  

• Solid problem-solving skills and analytical thinking.  

• Genuine curiosity and enthusiasm for emerging technologies.  

• Collaborative team player with good communication skills.  

• Willingness to learn, take feedback, and grow quickly.  

• Adaptability and comfort with ambiguity in fast-paced environments.  

• Customer-focused mindset.  

• Technical Skills:  

• Working proficiency in Python.  

• Familiarity with AI/ML concepts and exposure to at least one popular LLM API (e.g., GPT, Claude, Gemini) through work, coursework, or personal projects.  

• Awareness of common frameworks (e.g., TensorFlow, PyTorch, scikit-learn) — depth not required, but you should be eager to learn.  

• Front-end or back-end development capabilities; exposure to full stack is a plus.  

• Familiarity with React (Next.js) and Tailwind CSS is a plus.  

• Understanding of RESTful APIs.  

• Version control using Git.  

• Comfort using AI-assisted coding tools.  

• Exposure to Docker, cloud platforms (AWS, Azure, or GCP), or DevOps practices is a plus but not expected.  

Soft Skills:  

• Eager to collaborate with technologists, researchers, and business stakeholders.  

• Comfortable working in agile, fast-paced environments.  

• Developing communication skills, with a willingness to present and explain concepts.  

• Interested in client-facing work, including supporting demos and lab tours.  

• Proactive, curious, and adaptable.  

• Reliable in delivering quality work on time.  

• Fluency in written and spoken English required; Arabic is preferred. 

How You’ll Make a Difference   

At PwC Midde East, we expect all our people to embody the skills and behaviours of The PwC Professional framework, helping us deliver on our strategy while growing and developing as leaders at every level.