Embark on a transformative career as an AI Engineer with BCG X, Boston Consulting Group's specialized AI and analytics division. We are seeking ambitious Graduate AI Engineers to join our dynamic team for the 2026/2027 intake. This is a unique opportunity to apply cutting-edge AI and machine learning solutions to solve complex business challenges for top-tier clients.

At BCG X, you will be instrumental in designing, developing, and deploying advanced AI solutions. You will work on real-world projects, utilizing state-of-the-art techniques and gaining practical experience with scalable AI architectures, model optimization, and deep learning frameworks. Our collaborative environment fosters rapid professional and technical growth, allowing you to shape the future of business through AI innovation.

You will tackle intricate business challenges by designing, developing, and deploying sophisticated AI and machine learning solutions. Your role will involve working on real-world problems, leveraging advanced AI techniques, and gaining hands-on experience with scalable AI architectures, model optimization, and deep learning frameworks.

Contribute to high-impact consulting projects by applying your AI and engineering expertise. Collaborate with accomplished colleagues and leading clients to build AI-driven solutions that revolutionize industries. Develop AI-powered products, optimize machine learning models for production, and effectively bridge the gap between research and practical deployment.

We are looking for penultimate or final-year undergraduate or postgraduate students pursuing degrees in AI Engineering, Computer Science, Data Science, Machine Learning, Software Engineering, Mathematics, or related fields. Candidates should possess strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or JAX.

Demonstrated proficiency in deep learning, natural language processing (NLP), computer vision, or reinforcement learning is essential. Experience with scalable AI systems, model deployment, and cloud platforms such as AWS, GCP, or Azure is advantageous. Involvement in AI hackathons, Kaggle competitions, open-source projects, or AI-related research is highly valued.