Location
London

Hours
Full Time

Salary
Competitive salary commensurate with experience

About the Role
Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning.

As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence.

Job Responsibilities
- Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases
- Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies
- Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes
- Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems
- Evaluate new AI infrastructure technologies and share findings to inform team technical decisions
- Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing
- Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability
- Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions

Experience
- Strong Python programming skills
- Design, develop, and integrate RESTful APIs, such as with FastAPI
- Build and support ETL and data pipeline engineering workflows
- Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines
- Design and integrate databases and data models
- Apply monitoring practices and understand controls and compliance concepts in production environments
- Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences
- Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work

About You
- Interest in applied AI productization and machine learning concepts
- Ability to bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology
- Familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management is a plus
- Experience with AWS and tools such as MLflow is desirable
- Front-end development skills with React or modern frameworks and knowledge of graph database modeling concepts are advantageous

Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience