About this role
Salary: £62,000 - 102,000 per year
Requirements: 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, and prompt engineering related technologies.Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.Current experience with agile methodologies such as CI/CD, applicant resiliency, and security.Solid understanding of software applications and technical processes within a related technical discipline, such as synchronous and non-synchronous APIs and concurrency.Experience creating complex and scalable coding solutions using appropriate software design frameworks. Responsibilities: Collaborate with engineers, data scientists, and product owners to deliver products to production.Build and maintain data pipelines for analytics, model evaluation, and training, including versioning, compliance, and validation.Execute creative software solutions, design, development, and technical troubleshooting beyond routine or conventional approaches.Provide feedback and propose improvements to architecture governance practices.Create secure and high-quality production code, and review and debug code written by others.Maintain algorithms that run synchronously with appropriate systems.Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.Regularly provide technical guidance and direction to support our business and technical teams and vendors.Architect and govern agentic AI-enabled engineering workflows using enterprise-authorized tools within the work environment to improve delivery speed, code quality, and operational outcomes at scale, while defining guardrails for validation, security, resiliency, and reuse across teams.Apply 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. Technologies: Agentic AIAIAWSArchitectCI/CDCloudGolangSupportLLMMachine LearningPythonRAGSecurityTypeScriptMarketing More:
We are the Applied Innovation (of AI) Engineering team within the Chief Data Analytics Office (CDAO) Technology group at JPMorgan Chase. We are an elite machine learning group focused on business-critical priorities using innovative machine learning techniques and technologies, with a focus on machine learning for software, cybersecurity, and technology infrastructure. We partner closely with lines of business and engineering teams across the firm on long-term projects that require significant machine learning development to support our business as it grows. As part of JPMorganChase, we offer the opportunity to work in a first-class business with a strong focus on inclusion, technical excellence, and trusted long-term partnerships. We are an equal opportunity employer and value diversity and inclusion across our global workforce.
last updated 36 week of 2026