Senior Python Architect for AI-Driven Data Platform

JPMorgan Chase & Co.; Glasgow; On-site; GBP 110,000 - 150,000; Full time

Job summary

JPMorganChase in the United Kingdom seeks a Senior Lead Software Engineer to join the Corporate Technology Data and Analytics Services team. You will be a founding contributor to the Context Plane, a greenfield platform connecting data mesh and AI tools, and you will own components end-to-end from design to deployment.

You will collaborate with data science, product, and engineering peers, designing scalable data pipelines, secure services, and observable architectures while mentoring teammates

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.
• Demonstrated expertise building production-grade backend services and data pipelines in Python.
• Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows.
• Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience.
• Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS).
• Ability to own technical components end-to-end — from design through deployment and observability.
• Strong collaboration skills with the ability to work across engineering, product, and data science disciplines.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to evaluate AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

• Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store
• Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents
• Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories
• Integrate with data sources and services across the firm, including enterprise AI and large language model gateways
• Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design
• Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities
• Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve value of automation

Skills

Python

Backend services

API design

CI/CD

Data pipelines

AWS

Docker

End-to-end

Collaboration

AI tools

Tools

FastAPI

Git

Docker/ECS

CI/CD tools

Job description

JPMorganChase in the United Kingdom seeks a Senior Lead Software Engineer to join the Corporate Technology Data and Analytics Services team. You will be a founding contributor to the Context Plane, a greenfield platform connecting data mesh and AI tools, and you will own components end-to-end from design to deployment.

You will collaborate with data science, product, and engineering peers, designing scalable data pipelines, secure services, and observable architectures while mentoring teammates