Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
Out of the successful launch of Chase in 2021, we're a new team with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first and value collaboration, curiosity, and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We seek individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented with an interest in the financial sector and focus on addressing customer needs. Teams focus on specific products and projects, including fraud and financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations.

Job Responsibilities:
- Execute well-defined components of cloud-native platform services, AI applications, and supporting tooling with minimal guidance.
- Contribute to reusable platform components, libraries, and templates used across ICB for AI use cases.
- Apply established resilient patterns within your services and escalate risks or gaps to senior engineers.
- Develop secure code to protect customers and the company from malicious actors.
- Investigate and remediate issues within your scope, escalate appropriately, and contribute to preventing recurrence.
- Support release processes aiming for zero downtime, following team standards.
- Contribute to observability for platform components and applications; raise anomalies for squad resolution.
- Ensure platform components and applications meet the needs of developers and teams within your scope.
- Maintain and continuously improve platform components and AI applications.
- Embed controls, compliance, and security into components and applications to ensure teams meet obligations by default.
- Provide well-structured, timely updates on Jira stories to keep the squad informed.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Apply knowledge of Software Development Life Cycle tools, including AI-assisted development and automation, to maximize automation value.

Experience
- Formal training or certification in software engineering concepts with applied experience.
- Recent hands-on professional experience as a back-end software engineer.
- Proficient in recent versions of Java and Python.
- Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance).
- Familiarity with advanced AI and ML concepts such as model serving, feature retrieval, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
- Experience with cloud technologies, distributed systems, RESTful APIs, and web technologies.
- Demonstrated experience leading effective use of approved AI-assisted software development tools.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, resiliency, and security.
- Excellent written and verbal communication skills in English.

About You
- Curious and solution-oriented with a strong interest in financial services and new technology.
- Ability to coach engineers on safe and compliant adoption of AI-assisted development within delivery practices.
- Collaborative team player who values diversity and inclusion.

Qualifications
- Background in STEM with exposure to machine learning systems is preferred.
- Experience with MLOps frameworks and platforms such as MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus.
- Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP is preferred.
- Experience working in highly regulated environments or industries is advantageous.