Lead Software Engineer - AI Governance Engineering

JPMorgan Chase; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to accelerate machine learning across the Corporate AI and ML Data Platforms team. You will build scalable platform services spanning model operations, data development, governance tooling, and annotation workflows.

You will collaborate with engineers, data scientists, product managers, and researchers to deliver reliable, secure, user-friendly services. The role offers career growth within a major financial institution.

Qualifications

• Formal training or certification on software engineering concepts.
• Experience with modern architecture patterns (microservices, reactive/event-driven).
• Experience developing and deploying large language model-powered solutions with prompt design and retrieval-augmented generation.
• Programming experience in at least two modern languages/frameworks (Python, Java, JavaScript).
• Experience building RESTful APIs and tuning performance in large-scale apps.
• Experience with cloud platforms and containerization/orchestration (Docker, Kubernetes).
• Experience with relational and non-relational databases (PostgreSQL, MongoDB, Redis, Elasticsearch).
• Engineering practices including refactoring, design patterns, TDD, CI/CD, and secure coding.

Responsibilities

• Build and enhance platform capabilities for model registries, feature registries, and governance tooling.
• Design and deliver data preparation, annotation workflows, lineage, and auditability services.
• Develop cloud-native microservices and APIs to support scalable model delivery and operations.
• Create LLM-powered capabilities (prompt design, agent workflows, retrieval) for grounded outcomes.
• Produce architecture/design artifacts; ensure performance, resiliency, and security constraints.
• Use approved AI-assisted development tools; validate outputs for correctness, performance, and security.
• Analyze telemetry and user feedback; build reporting and metrics for improvement.
• Identify hidden issues in systems and data; improve code health and observability.

Skills

Software fundamentals

Microservices

LLM integration

Python/Java/JS

API development

Cloud platforms

CI/CD

Security practices

AIA tooling

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Elasticsearch

React

Terraform

Job description

Join a team where your engineering work accelerates how machine learning is built, governed, and delivered across JPMorgan Chase. You will help create platform capabilities that make it easier for teams to move from ideas to production with confidence. If you enjoy building scalable systems and improving developer experience, this role offers meaningful impact and career growth.

As a Lead software engineer at JPMorgan Chase within the Corporate Artificial Intelligence and Machine Learning Data Platforms team, you will build and enhance products that support the machine learning lifecycle-spanning model operations, data development (such as processing and data annotation), and governance tooling. You will collaborate closely with engineers, system architects, product managers, data scientists, and research partners to deliver reliable, secure, and user-friendly platform services.

Job responsibilities

• Build and enhance platform capabilities for model registries, feature registries, promotion policies, and governance tooling
• Design and deliver services for data preparation, annotation workflows, lineage, and auditability
• Develop cloud-native microservices and application programming interfaces to support scalable model delivery and operations
• Create large language model-powered capabilities (prompt design, agent workflows, retrieval) to deliver grounded, reliable outcomes
• Produce architecture and design artifacts and ensure implementations meet performance, resiliency, and security constraints
• Use company-approved AI-assisted development tools to improve quality and speed, validating outputs via reviews, testing, and secure coding practices
• Analyze telemetry and user feedback; build reporting and metrics to drive continuous improvement
• Identify hidden issues and patterns in systems and data; improve code health, observability, and platform architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts
• Experience with modern architecture patterns (such as microservices, reactive architectures, event-driven architectures)
• Experience developing and deploying large language model-powered solutions using prompt design, agent workflows, tool integration, and retrieval-augmented generation
• Programming experience in at least two modern languages or frameworks (such as Python, Java, JavaScript, React, Node.js)
• Experience building and consuming RESTful application programming interfaces and tuning performance in large-scale applications
• Experience with cloud platforms and containerization or orchestration (such as Docker and Kubernetes)
• Experience with relational and non-relational databases (such as PostgreSQL, MongoDB, Redis, Elasticsearch, Cassandra)
• Experience with engineering practices including refactoring, design patterns, test-driven development, continuous integration and delivery, and application security
• Hands-on experience using company-approved AI-assisted software development tools, with the ability to validate and refine outputs for correctness, performance, and security

Preferred qualifications, capabilities, and skills

• Proficiency in Go or Terraform for automation, tooling development, or platform service implementation.
• Working knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn) for model integration and operationalization.
• Exposure to multi-cloud or hybrid cloud architectures and platform portability strategies.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.