Remote AI Engineer

Shape the Future with AI and Innovation

At Commercial Technology & Innovation (CT&I), we’re not just building technology—we’re reshaping the future of business. As the tech engine behind PwC’s Advisory platforms, we embed AI, automation, and cutting-edge engineering into everything we do, delivering smarter, faster, and bolder solutions that drive real-world impact. Achieve Impact as an AI Engineer

We’re seeking an innovative and versatile AI Engineer who combines strong machine learning expertise with modern application development skills. You’ll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to deliver impactful AI products. About the Role

• Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments.
• Developing scalable, cloud-native microservices using tools like Docker and Kubernetes.
• Building end-to-end AI applications integrated into web, mobile, or API-first platforms.
• Managing CI/CD pipelines and observability for AI systems using tools such as GitHub Actions and MLflow.
• Implementing vector databases, Retrieval-Augmented Generation (RAG) pipelines, and orchestration tools like LangChain and LlamaIndex.
• Translating complex business problems into software-engineered AI solutions aligned with best practices. Your Skills and Experience
• Bachelor Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
• Familiarity with cloud platforms (AWS, GCP, Azure) and services such as SageMaker, Vertex AI, or Databricks.
• Experience working in cross-functional engineering environments including front-end (React, Next.js) and platform teams. About Us

PwC is the global leader in assurance, consulting and tax services. Our 282,000 people are located in 158 countries and our network helps organisations build trust and confidence in their performance and purpose, enabling them to maximise their impact and create long value for shareholders, the economy and society.