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

JPMorgan Chase & Co.; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for an elite Applied Innovation ML Engineering role within the Chief Data Analytics Office (CDAO) Technology group.

The position focuses on building scalable ML solutions for software, cybersecurity, and infrastructure, partnering across business lines to deliver long-term AI-driven projects. Responsibilities include delivering production-ready ML products, maintaining data pipelines, and driving architectural governance for secure, high-quality code.

Qualifications

• Experience with modern programming languages (Python, Golang, TypeScript) in AWS/cloud environments.
• Hands-on experience with GPT/LLM, Gen AI technologies and prompt engineering.
• Proficient in developing, debugging, and maintaining code in large corporate settings.
• Familiarity with agile practices such as CI/CD, security, and resiliency.

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 validation.
• Develops secure, high-quality production code and reviews others' code; maintains algorithms across systems.
• Identifies data patterns to improve coding hygiene and system architecture.
• Provides technical guidance to business teams and vendors to support delivery at scale.
• Governs AI-enabled engineering workflows with guardrails for validation, security, and reuse.

Skills

Python

Golang

TypeScript

AWS Cloud

GPT/LLM/Gen AI

Prompt Engineering

CI/CD

APIs

Concurrency

Security

Job description

Overview

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 JPMorgan Chase. AI Engineering tackles 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 JPMorgan Chase businesses as they grow.

Responsibilities

• Collaborates with engineers, data scientists, and product owners, to deliver products to production.
• Builds and maintains 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