Assistant Director - Automation and Artificial Intelligence

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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 is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Assistant Director – Automation and Artificial Intelligence

Purpose of the role:

The Assistant Director – Automation and Artifical Intelligence will provide specialist expertise in code-based automation, advanced scripting and applied AI/GenAI to simplify processes, improve productivity and create intelligent capabilities across People Insights products. Working through the Product Lead, the role will translate requirements into scalable automation and AI solutions using Python, R and other programming technologies, with Microsoft 365 and Power Platform capabilities providing additional solution options.

In this role, you will:

- Design, develop and maintain code-based automation solutions using Python, R and other programming or scripting languages to eliminate repetitive manual activities, improve productivity and increase process consistency.
- Analyse business processes and product requirements to identify opportunities for automation, intelligent processing and AI, translating requirements received through the Product Lead into practical, scalable technical solutions.
- Build reusable automation capabilities for data extraction, transformation, validation, reconciliation, reporting, file processing, workflow execution and exception handling, integrating with databases, APIs, enterprise applications and data platforms where required.
- Develop robust and maintainable solutions with appropriate error handling, logging, monitoring, documentation and recovery mechanisms, ensuring reliability and operational resilience at scale.
- Apply AI and machine-learning techniques to use cases including classification, summarisation, information extraction, document processing, prediction and natural-language interaction, selecting the most appropriate approach based on the business problem.
- Develop and evaluate AI solutions, assessing accuracy, relevance, consistency and reliability while addressing hallucination, inappropriate outputs, data privacy, security, explainability and responsible AI risks.
- Work closely with the Product Lead, Data Engineering, Application Development and QA teams to understand priorities, acceptance criteria, estimates, dependencies, risks and implementation options, supporting Agile delivery and productionisation.
- Continuously improve and manage the lifecycle of automation and AI solutions by applying emerging technologies such as LLMs, RAG, AI agents, Microsoft Power Platform, Azure AI, Databricks, Microsoft Fabric and modern development frameworks, while ensuring effective testing, deployment, troubleshooting, documentation and handover.

To be successful you will:

- Six or more years of experience in automation, software development, data engineering, analytics engineering, AI/ML or a related technical discipline. Strong programming and scripting fundamentals, with experience in technologies such as SQL, JavaScript, C#, Java, PowerShell or equivalent.
- Experience developing API integrations, data-processing solutions, automated workflows and file-processing capabilities using databases, enterprise applications and modern development environments. Practical experience with Generative AI, Large Language Models, prompt engineering and LLM-based application development, including one or more of RAG, embeddings, vector databases, AI APIs or AI agents.
- Understanding of machine-learning model development, including data preparation, model selection, training, evaluation, tuning and deployment concepts. Ability to build clean, maintainable and well-documented code with appropriate testing, error handling, logging, monitoring, recovery and observability mechanisms.
- Experience with Git, GitHub or Azure DevOps, APIs, databases, CI/CD and Agile or product-oriented delivery environments. Strong analytical and problem-solving capability, with the ability to investigate issues across code, data, APIs and technology dependencies and convert complex manual processes into scalable automation.
- Ability to translate requirements received through the Product Lead into clear technical solutions and communicate effort, dependencies, risks, limitations and trade-offs effectively.
- Experience with Microsoft 365 and Power Platform capabilities, including Power Apps, Power Automate, Dataverse, SharePoint, Microsoft Teams, Microsoft Graph API, Office Scripts and VBA.
- Experience with Azure OpenAI, Azure AI Foundry, Copilot Studio, AI agents, agentic workflows, LangChain, Semantic Kernel, Azure AI Search or equivalent AI platforms and frameworks.
- Experience with advanced SQL, Databricks, Azure, Microsoft Fabric or similar cloud platforms, together with knowledge of data science, statistical modelling, predictive analytics, AI evaluation and responsible AI governance.

You’ll achieve more at HSBC

www.hsbc.com/careers

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, colour, national origin, veteran status, etc. We consider all applications based on merit and suitability to the role.

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 HSBC Electronic Data Processing (India) Private Limited