Senior Python Engineer — Architect AI Data Platform

JPMorgan Chase; Glasgow; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Technology Data and Analytics Services team. You will own end-to-end components for a greenfield platform connecting data mesh and AI tools, designing ingestion pipelines to governed retrieval services, and mentoring teammates.

You will work hands-on with Python, FastAPI APIs, CI/CD, and cloud infrastructure, shaping architecture while collaborating across engineering, product, and data science.

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.
• 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.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.

Skills

Backend Python

API design (FastAPI)

CI/CD

Cloud (AWS)

Containerization (Docker)

End-to-end ownership

Team collaboration

AI-assisted development tools

Secure coding practices

Code reviews & testing

Tools

Docker

ECS

AWS

Job description

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Technology Data and Analytics Services team. You will own end-to-end components for a greenfield platform connecting data mesh and AI tools, designing ingestion pipelines to governed retrieval services, and mentoring teammates.

You will work hands-on with Python, FastAPI APIs, CI/CD, and cloud infrastructure, shaping architecture while collaborating across engineering, product, and data science.