Technology support I in London

Embark on a dynamic career in tech support, where your skills contribute to maintaining world-class technology solutions to ensure a seamless user experience. As a Technology Support I team member in Commercial and Investment bank, you will ensure the operational stability, availability, and performance of our production application flows. Be part of the team responsible for troubleshooting, maintaining, identifying, escalating, and resolving production service interruptions for all internally and externally developed systems, ensuring a seamless user experience.

Job Responsibilities

• Troubleshoot and monitor production application flows to ensure end-to-end application or infrastructure service delivery to support business operations, addressing anomalies using standard observability tools.
• Use enterprise-authorized AI capabilities within the work environment to speed up incident triage and initial problem analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Assist in the improvement of operational stability and availability through participation in problem management.
• Identify and document basic issues and potential solutions and support the management of incidents, problems, and changes in technology applications or infrastructure, escalating in compliance with firm policy and processes.
• Apply reuse-first, AI-assisted practices within operational stability routines to identify recurring interruption patterns and support validated remediation actions aligned to resiliency and security expectations.
• Execute creative LLM-assisted software solutions; design, develop, and troubleshoot LLM-powered applications and services with a willingness to think beyond routine approaches to break down technical problems and deliver measurable outcomes.
• Provide Level 3 (L3) support for LLM-assisted production systems, own complex incidents, model and prompt rollouts/rollbacks, dependency issues, and ensure high availability, reliability, and adherence to SLAs including latency and cost budgets.
• Develop data quality rules and controls using LLM; define and enforce guardrails for prompts, retrieved context, model inputs/outputs, and post-processing, including PII redaction, toxicity/safety filters, hallucination mitigation, output schema validation, and policy compliance.
• Create secure, high-quality production code: implement LLM-assisted microservices, synchronous and asynchronous inference pipelines, deterministic fallbacks, circuit breakers, and observability for reliability in production.
• Produce architecture and design artifacts, deliver model cards, system/data lineage, RAG/agent reference architectures, prompt libraries and versioning strategies, evaluation plans, and control evidence ensuring design constraints and regulatory expectations are met during development.
• Drive LLMOps best practices; integrate models, prompts, and evaluation into CI/CD, enforce approvals, segregation of duties, and reproducibility, automate regression and guardrail tests, and manage lifecycle across environments while ensuring LLM-driven systems meet enterprise reliability and resilience expectations.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on troubleshooting, resolving, and maintaining information technology services concepts and advanced applied experience.
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support production support workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and following operational and security expectations.
• Familiarity with applications or infrastructure in a large-scale technology environment on-premises or in the public cloud.
• Formal training or certification in software engineering concepts, with practical experience applying them to LLM-enabled systems in regulated environments.
• Strong coding skills in Java/Python and SQL, applied to building LLM-enabled microservices, retrieval pipelines, evaluators, and data tooling.
• Hands-on experience with AWS and cloud data management, plus experience integrating managed model endpoints and embedding/vector services.
• Proficiency in automation, CI/CD, and agile methodologies with LLMOps extensions.
• Experience in system design, application development, and operational stability for LLM architectures.
• Strong analytical, problem-solving, and communication skills.
• Strong understanding of how large language models work and of data-modeling challenges in big data and LLM contexts.

Preferred Qualifications, Capabilities, and Skills

• Exposure to defining model-usage guidelines and translating business and regulatory requirements into technical specifications.
• Hands-on experience with modern application stacks and API tooling.
• Familiarity with treating prompts and system instructions as versioned, reviewable engineering artifacts.
• Working knowledge of secure-by-design and observability practices.
• Ability to continuously learn about new developments in Agentic AI and LLM-driven software coding.

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.