Principal Software Engineer - Full Stack Python/AWS - Executive Director

JPMorgan Chase & Co.; City Of London; On-site; GBP 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Principal Software Engineer within the Applied Innovation (of AI) Engineering team in the CDAO Technology Group. You will design, develop, deploy, and maintain advanced AI products while collaborating with software engineers, data engineers, and data scientists to deliver trusted solutions.

You will contribute to long-term projects driving innovation and business growth, while supporting inclusive and technically excellent practices across teams.

Qualifications

• Proven programming/scripting skills with Python, Golang, TypeScript in AWS/Cloud
• Experience with GPT, LLM, RAG, GenAI, and prompt engineering
• Experience developing, debugging, and maintaining code in large corporate environments
• Experience with CI/CD, application resiliency, and security
• Knowledge of synchronous/asynchronous APIs and concurrency

Responsibilities

• Collaborates with engineers, data scientists and product owners to deliver production-ready products
• Builds and maintains data pipelines for analytics, model evaluation, and training with versioning and compliance
• Creates innovative software solutions and tackles complex technical problems
• Provides feedback to improve architecture governance and practices
• Writes secure, high-quality production code and reviews others' code
• Identifies hidden data patterns to improve coding hygiene and system design
• Guides teams and vendors with technical direction and delivery best practices
• Defines guardrails for validation, security, resiliency, and reuse across teams

Skills

Python

Golang

TypeScript

GPT/LLM/GenAI

Prompt Engineering

CI/CD

Application resiliency

Security

APIs

Concurrency

Software design

Job description

The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow.

As a Principal Software Engineer at JPMorganChase within CDAO Technology Group in the Applied Innovation (of AI) Engineering team, you will design, develop, deploy, and maintain advanced AI products. You’ll collaborate with software engineers, data engineers, and data scientists to deliver trusted solutions. Your role is central to executing long-term projects that drive innovation and support our business growth. You’ll contribute to a culture of inclusion and technical excellence.

Job Responsibilities

• Collaborates with engineers, data scientists, and product owners, to deliver products to production.
• Builds and maintain data pipelines for analytics, model evaluation, and training (includes versioning, compliance and validation).
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Provides feedback and proposes improvements to architecture governance practices
• Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Regularly provides technical guidance and direction to support the business and its technical teams and vendors
• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale

Required Qualifications, Capabilities and Skills

• Proven programming/scripting skills with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS /Cloud environment
• Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Current experience of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Solid understanding of software applications and technical processes within a related technical discipline (e.g. Synchronous and non-synchronous APIs, Concurrency, etc.)
• Creates complex and scalable coding solutions using appropriate software design frameworks