About this role
Salary: £62,000 - 102,000 per year
Requirements: Formal training or certification on software engineering concepts and advanced applied experienceDemonstrated expertise building production-grade backend services and data pipelines in PythonStrong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflowsExperience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilienceProficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS)Ability to own technical components end-to-end — from design through deployment and observabilityStrong collaboration skills with the ability to work across engineering, product, and data science disciplinesHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practicesExperience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modelingFamiliarity with vector search, embeddings, or retrieval-augmented generation (RAG) patternsExposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAIExperience with Databricks, MongoDB, or large-scale extract, transform, and load / data integration workflowsKnowledge of data governance, lineage, and entitlements concepts in an enterprise environment Responsibilities: Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector storeBuild and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agentsExtract and promote reusable components into a shared core library, reducing duplication across the platforms repositoriesIntegrate with data sources and services across the firm, including enterprise AI and large language model gatewaysOwn quality across our components: automated testing, code reviews, observability, and resilient, secure service designPartner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilitiesContribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the teamDrive team adoption of enterprise-authorized AI-assisted engineering practices within our work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApply 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 Technologies: AIAI AgentsAPIAWSAzureBackendCI/CDCloudDatabricksDockerFastAPISupportMarketingModel ServingMongoDBNeo4JPythonRAGSecurity More:
We are JPMorganChase, and within our Corporate Technology Data and Analytics Services team we are building the Context Plane — a greenfield platform that connects our data mesh and knowledge sources to AI agents and large language model tools. This is a hands-on senior role with end-to-end ownership, real architectural scope, and active cross-functional collaboration. We support internal mobility and upskilling, and we value curious, pragmatic engineers who want to grow into emerging technology stacks. We are also committed to diversity and inclusion, and we provide reasonable accommodations for religious practices and beliefs as well as mental health or physical disability needs. Our Corporate Functions teams span areas from finance and risk to human resources and marketing, helping set our businesses, clients, customers, and employees up for success. This is a full-time role.
last updated 36 week of 2026