Job description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC Corporate and Institutional Banking is a markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We partner with our corporate, government and institutional clients to help them achieve consistent, long-term performance. Our products and services include advisory, financing, prime services, research and analysis, securities services, trading and sales and transaction banking.

We are currently seeking a high calibre professional to join our team as an AI Engineer.

Principal Responsibilities

In this role you will

  • Build multi-agent workflows to optimize business processes within a bank

  • Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks

  • Train, fine-tune, and optimize neural network models, including LLMs, for specific banking use cases like risk assessment and customer query resolution

  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications. Ensuring AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices

  • Conduct experiments, evaluate model performance, and iterate on solutions to improve accuracy and efficiency

  • Participate in code reviews, agile ceremonies, and continuous integration/continuous deployment (CI/CD) processes and Monitor deployed solutions in production, troubleshoot issues, and implement updates as needed

  • Stay updated on emerging AI trends, particularly in NLP and LLMs, and contribute to knowledge sharing within the team

Requirements

To be successful you will need

  • Professional experience in AI/ML engineering, with a focus on software development and deployment and Strong software engineering experience with Python, including proficiency in libraries such as TensorFlow, PyTorch, scikit-learn, and Huggingface

  • Proven expertise working with Large Language Models (LLMs) like GPT, BERT, or similar, and building agentic solutions (e.g., using LangChain, LangGraph, ADK, or similar frameworks for multi-agent systems). Demonstrated experience in Natural Language Processing (NLP), including prior projects involving text classification, entity recognition or something similar

  • Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability and Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation

  • Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for model deployment and data management and version control systems (e.g., Git) & agile methodologies

  • Strong communication skills for presenting technical concepts to non-technical stakeholders and Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment

  • Experience in the financial services industry, with knowledge of banking domains such as fraud detection, credit scoring, or customer service automation

  • Familiarity with big data tools (e.g., Spark, Hadoop) and databases (e.g., SQL/NoSQL) and graph databases and knowledge graphs is highly preferred

  • Understanding of DevOps practices, containerization (e.g., Docker, Kubernetes), and MLOps workflows

Opening up a world of opportunity
http://www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.