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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 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 offers diverse opportunities across Human Capital, Finance, Technology & AI, Clients & Markets, Marketing & Communications, Risk & Quality, Partner Development, Office Management, and Transformation & Change. As we continue to embed data, technology and new-age AI into how we work, we are hiring talent who can help our teams become more AI-enabled, digitally confident and ready to create greater value across PwC Middle East. Business Unit Overview T he 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), provides technical consultation on architecture, solution design, and best practices, and drives workforce transformation through training and upskilling to accelerate adoption across our lines of service. Operating within IFS, the CoE partners with Experience Design and adjacent technology teams, follows a codified operating model and RACI for approvals and observability, and supports proposals, demos, and delivery with a focus on distinctive outcomes and trusted leadership. 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. As a DevOps and AI Engineer, your responsibilities include but are not limited to: 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. Develop backend services in Python for model inference, prompt orchestration, and pipeline management, exposing them through RESTful APIs and microservices. Participate in design discussions and architectural reviews, and uphold coding standards. Translate conceptual ideas and business requirements into working solutions, and evaluate new tools, frameworks, and platforms for client use cases. Champion the effective and responsible use of AI-assisted coding tools to improve team productivity and quality. Collaborate on CI/CD pipelines and DevOps practices (Docker containerization, automation) for reliable delivery. Communicate clearly with technical and non-technical audiences, explaining complex topics in a simple way. Be able to conduct technical Feasibility studies from Business Ideas. 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 1-3 years of professional software or AI engineering experience in an individual-contributor role. Demonstrated experience building and shipping AI-powered products (RAG pipelines, agentic systems, AI-powered workflows). Education & Certifications Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. Relevant Azure or Microsoft certifications are a plus. Technical Skills & Specialized Knowledge Strong proficiency in Python for backend development. Experience integrating machine learning models or large language models into production applications. Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), computer vision, and popular LLM APIs (e.g., GPT, Claude, Gemini). Front-end or full-stack capabilities; experience with React (Next.js) and Tailwind CSS is a plus. Experience with RESTful APIs and microservices architecture. Version control using Git; understanding of DevOps practices and Docker containerization. Experience with cloud platforms (AWS, Azure, or GCP). Attributes & Soft Skills Strong problem-solving and analytical thinking. Innovation mindset with a passion for emerging technologies. Collaborative team player, able to work closely with technologists, researchers, and business stakeholders. Self-motivated, adaptable, and comfortable with ambiguity in fast-paced environments. Excellent verbal and written communication in English. 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. Why You’ll Love Working at PwC At PwC Middle East, you’ll find more than just a job - you’ll build a meaningful career, supported by rewards and benefits that help you thrive. We offer competitive pay, comprehensive benefits, and programs that promote well-being, balance, and personal growth. You’ll have access to continuous learning, digital upskilling, and a collaborative environment that values innovation, mentorship, and diversity. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially here. Discover more about Life at PwC Middle East.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.