Job Summary

Engineer (AI/GenAI Projects)

Overview
We are seeking an experienced Senior Data Engineer to design, build, and optimize the data ecosystems that power AI and GenAI applications. This role requires deep expertise in data architecture, scalable pipelines, cloud-native engineering, and the ability to collaborate closely with ML engineers, full-stack developers, and product teams. You will shape the data foundation enabling retrieval-augmented generation (RAG), feature stores, vector search, analytics, and production-grade AI platforms.

Key Responsibilities
•    Architect and implement scalable data pipelines for structured, unstructured, and semi-structured data, supporting both analytics and AI workloads.
•    Lead the design of data models, schemas, and storage layers across SQL/NoSQL databases, data lakes, data warehouses, and vector databases.
•    Build and optimize ingestion, transformation, and orchestration workflows using tools such as Airflow, dbt, Spark, Flink, Dremio, Trino, or cloud-native alternatives.
•    Collaborate with ML/LLM engineers to enable efficient feature extraction, embedding generation, RAG pipelines, and real-time data services.
•    Develop APIs, metadata systems, and data access layers to support downstream AI applications and multi-agent systems.
•    Ensure reliability, performance, observability, and cost optimization across the data platform.
•    Establish data engineering best practices, including CI/CD, automated testing, versioning, and governance controls.
•    Implement and enforce data quality, lineage, and security frameworks aligned with enterprise standards.
•    Mentor junior engineers, provide architectural guidance, and contribute to platform-level design decisions.

Preferred Attributes
•    Experience in high-compliance industries (finance, healthcare, or public sector).
•    Knowledge of feature stores, streaming architectures, or event-driven data systems for real-time AI.
•    Exposure to LLMOps architectures, agent frameworks, and AI-native metadata systems.
•    Strong analytical skills, leadership capability, and ability to work cross-functionally with platform and product teams.

Key Responsibilities

Strategy
•    Awareness and understanding of the Group's AI strategy and model appropriate to the role.

Business
•    Awareness and understanding of how the AI/GenAI models operating in the Group 

Processes 
•    Responsible for developing some business-oriented Machine Learning models

Risk Management 
•    The ability to interpret the Machine Learning models, identify key issues and put in place appropriate model controls and measures.

Governance 
•    Identify key Responsible AI related to the models developed

Regulatory & Business Conduct
•    Display exemplary conduct and live by the Group’s Values and Code of Conduct. 
•    Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
•    Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders
•    Sustainable Finance

Qualifications

•    Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
•    6+ years of experience in data engineering, with proven delivery of production-grade data systems.
•    Strong proficiency in Python/Java/Scala and SQL, with hands-on experience in building large-scale ETL/ELT pipelines.
•    Deep expertise with cloud data platforms (AWS, GCP, or Azure) and distributed processing frameworks (Databricks/Spark/Flink).
•    Experience with modern data stack components (Airflow, dbt, Kafka, Delta Lake/Iceberg).
•    Familiarity with vector stores (e.g., Elastic, Faiss, Chroma), embeddings, and data architectures for RAG/LLM applications.
•    Strong understanding of APIs, microservices, and DevOps/CI/CD concepts (Docker, Kubernetes, Terraform).
•    Knowledge of data governance, privacy, access control, and lineage tooling (Unity Catalog, Collibra).

Skills and Experience

•    Data Science
•    (large) Data processing
•    Data Analytics
•    Programming skills, e.g., Python
•    ML/DL frameworks, e.g., Scikit-learn, XGboost, Torch, Tensorflow
•    Cloud
•    Production deployment
•    API
•    ESG  

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.