Senior Python Data & AI Cloud Architect

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorgan Chase in London seeks a senior software engineer to design, build, and maintain cloud‑native data, backend, and AI/ML solutions that support our financial services objectives. You will work on microservices, data pipelines, ELT processes, and large language model applications, collaborating with data scientists to validate outputs and ensure security and resilience.

This role offers hands‑on ownership in a highly technical environment, with a focus on production‑scale systems,

Qualifications

• Formal training or certification in software engineering concepts with applied experience.
• Hands-on practical experience in system design, development, testing, and stability.
• Proficiency in Python and modern programming languages.
• Experience in large corporate environments with databases and querying languages.
• Strong knowledge of the SDLC.
• Proven track record in microservices, distributed systems, and data-intensive apps.
• Experience with cloud services, IaC, containers, big data, and data engineering tech.
• Production-scale cloud-native data engineering experience.
• Familiarity with ETL, Glue, S3, Athena, and MLOps.
• Experience leading AI-assisted development tools with validation for correctness, performance, security.
• Responsible AI practices in engineering workflows.
• Ability to communicate design choices clearly to stakeholders.
• Experience with data, AWS, and AI/ML in commercial (financial) settings.
• Experience with AI/ML systems / recommendation systems.
• Kubernetes, EKS, Docker, and MLOps experience.
• Exposure to LLMs, RAG, knowledge graphs, OpenSearch, vector DBs.
• Experience collaborating with data scientists.

Responsibilities

• Execute software solutions, design, develop, and troubleshoot complex problems.
• Create secure, production-grade code and maintain production algorithms.
• Produce architecture and design artifacts for complex applications.
• Build data and AI/ML stack including data engineering, backend, cloud DevOps, and MLOps.
• Design and implement data engineering solutions with modern big data tech.
• Drive adoption and governance of AI-assisted engineering practices.
• Leverage SDLC toolchains to improve automation at scale.
• Contribute to engineering communities of practice and events.
• Work on cloud-native data, backend, and AI/ML initiatives at production scale.

Skills

Python

System design

Software engineering training

Enterprise development

SDLC knowledge

Microservices architecture

Cloud & DevOps

Cloud data engineering

ETL / AWS data stack

AI tooling governance

Responsible AI

Communication

Finance experience

AI/ML systems

Kubernetes / Docker

LLM / RAG / OpenSearch

Data science collaboration

Tools

Docker

Kubernetes

EKS

OpenSearch

Vector databases

Job description

JPMorgan Chase in London seeks a senior software engineer to design, build, and maintain cloud‑native data, backend, and AI/ML solutions that support our financial services objectives. You will work on microservices, data pipelines, ELT processes, and large language model applications, collaborating with data scientists to validate outputs and ensure security and resilience.

This role offers hands‑on ownership in a highly technical environment, with a focus on production‑scale systems,