Applied AI Engineering Lead - VP, Markets Operations
22 hours ago
London
Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands-on, builder-focused environment. You will have the opportunity to grow your career while helping advance safe, reliable, and effective AI in financial services.As an Applied AI Engineering Lead - Vice President in Markets Operations, you will lead the design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering practices. You will build reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production-ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders to identify high-value opportunities and deliver robust solutions integrated with strategic platforms and operational processes.Job ResponsibilitiesLead the design, development, and implementation of agentic AI applications that support Markets Operations workflows, controls, exception management, and productivity use casesDefine and drive AI engineering architecture patterns for scalable, secure, reusable, and production-ready AI, machine learning, and generative AI solutionsDesign and implement agent harnesses, orchestration layers, tool-use frameworks, workflow automation patterns, and guardrails for enterprise AI applicationsDevelop context management strategies, including retrieval approaches, memory patterns, prompt and context construction, grounding, data access controls, and lifecycle management of contextual informationBuild and enhance robust AI services and infrastructure using modern engineering practices, including APIs, event-driven patterns, CI/CD, Infrastructure-as-Code, observability, and automated testingPartner with AI researchers, data scientists, and software engineers to translate emerging AI capabilities into practical, reliable, and compliant enterprise applicationsEstablish evaluation, monitoring, and feedback mechanisms for AI systems, including quality measurement, hallucination reduction, regression testing, model performance tracking, and operational risk controlsDesign approaches for continual learning and improvement, including human-in-the-loop feedback, telemetry-driven enhancement, model, prompt, and version management, and safe release practicesCollaborate with Markets Operations stakeholders to understand process pain points and translate them into AI-enabled technology solutions with measurable business impactDocument and communicate architecture decisions, design tradeoffs, engineering standards, and implementation patterns to technical and non-technical audiencesMentor engineers and contribute to a culture of technical excellence, innovation, responsible AI adoption, and continuous learningRequired Qualifications, Capabilities, and SkillsBachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field, or equivalent practical experienceStrong software engineering experience with Python and experience designing, building, and operating production-grade applicationsExperience designing and building AI, machine learning, generative AI, or agentic applications, including integration with enterprise systems and workflowsStrong understanding of LLM application patterns, including prompt engineering, retrieval-augmented generation, tool calling, context management, evaluation, and guardrailsExperience with RESTful API design, development, and integration, including frameworks such as FastAPIExperience with data engineering concepts, ETL and data pipelines, structured and unstructured data, and integration with enterprise data platformsExperience with CI/CD, automated testing, observability, production monitoring, and operational readiness practicesFamiliarity with Infrastructure-as-Code solutions such as Terraform and cloud or container-based deployment patternsWorking knowledge of database design and integration, including relational, document, vector, or graph-based data storesUnderstanding of security, controls, compliance, and model risk considerations relevant to enterprise AI systemsStrong verbal and written communication skills, including the ability to influence architecture decisions and work effectively across multidisciplinary teamsPreferred Qualifications, Capabilities, and SkillsExperience designing or operating multi-agent systems, agent orchestration frameworks, workflow automation platforms, or tool-augmented LLM applicationsExperience with context engineering techniques, including retrieval strategies, embeddings, vector databases, knowledge graphs, semantic search, memory management, and grounding approachesExperience building evaluation frameworks for AI applications, including golden datasets, automated scoring, human review workflows, red teaming, regression testing, and production quality monitoringExperience with continual learning or continuous improvement patterns for AI systems, including feedback loops, telemetry analysis, prompt and model versioning, and experimentation frameworksFamiliarity with Markets Operations processes, trade lifecycle, post-trade operations, reconciliations, controls, exception management, or operational riskExperience applying Artificial Intelligence in finance, markets, operations, risk, or large-scale enterprise technology environmentsStrong presentation, stakeholder partnership, technical leadership, and project execution skills#CIBAppliedAIJ.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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-08-24