AI/ML Engineering Lead/(Gen AI,Python,LLM,ETL)Associate Director

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 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 Associate Director, Data and Analytics Specialist

In this role, you will:

• Lead delivery of AI/ML engineering solutions on GCP, taking accountability for end-to-end outcomes from design through production support.

• Own architecture and technical strategy for scalable, secure data/AI platforms (batch and streaming), aligned to HSBC engineering standards and controls.

• Design and build robust data pipelines using GCP services (e.g., BigQuery, Dataflow/Beam, Airflow, Pub/Sub, Cloud Storage), optimising for performance, resilience, and cost.

• Implement MLOps practices for the full model lifecycle: CI/CD, automated testing, repeatable training pipelines, deployment, monitoring, and rollback strategies.

• Model evaluation: precision/recall/F1, ROC-AUC/PR-AUC, calibration, confusion matrix; cost-sensitive metrics.Establish and enforce engineering best practices (coding standards, code reviews, test coverage, documentation, observability, and operational readiness).

• Embed security-by-design and compliance controls (IAM, encryption, secrets management, auditability, data privacy), partnering with Cyber Security and Risk as required.Ensure strong data quality, lineage, and governance (validation checks, metadata, access controls, retention), suitable for regulated banking environments.

• Lead production operations for AI/data services: SLOs, alerting, incident management, root-cause analysis, and continuous service improvement. Partner with Product, Data Science, and business stakeholders to translate use cases into clear requirements, milestones, and measurable success metrics.

• Define and implement engineering standards, governance frameworks and best practices across the organization. Ensure alignment with industry standards and regulatory requirements

To be successful in this role, you should meet the following requirements:

• Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree preferred.Minimum of 12 years of experience in software engineering, with a focus on engineering practices and governance.

• Proven experience in application architecture and data management. Familiarity with AI technologies and their application in banking or financial services. Excellent leadership, communication, and interpersonal skills.

• Hands-on delivery of LLM and RAG solutions, with practical experience measuring and optimising response quality, latency, and cost. Experience with LLM orchestration frameworks (e.g., LangChain/LlamaIndex), prompt engineering, and evaluation frameworks. Familiarity with data pipelines and document processing for RAG (chunking, embedding strategies, ingestion workflows).

• Working knowledge of PostgreSQL with pgvector, including vector and hybrid search patterns, metadata filtering, and indexing approaches. Working knowledge of FalkorDB (or equivalent graph databases), covering graph data modelling and common query patterns.

• Strong hands-on Redis experience for caching, throughput improvement, and performance optimisation. Proficiency in Python for application development and scripting, alongside experience with RDBMS platforms.

• Proven experience delivering GenAI solutions, including agentic AI patterns and multi-agent orchestration frameworks,from prototype through to production

• Key Competencies: Technical acumen in cloud computing, CI/CD pipelines, and software development lifecycle.

• Ability to influence and drive changes within a complex organizational structure. Strong analytical skills to assess engineering practices and recommend improvements.

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

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Issued by – HSBC Software Development India