Client360 is one of JPMorganChase Commercial & Investment Bank’s strategic pillars, building the future of our business and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.
Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Associate, you will help drive the build and day-to-day operation of agentic AI solutions, enabling intelligent automation across Client360. You’ll work closely with product, architecture, engineering, platform operations, and data operations teams to implement agent-led workflows and ensure they are scalable, reliable, well-controlled, and measurable.
This role is suited to an engineer who can independently translate intent into working software, proactively improve delivery quality, and reduce the burden on senior team members by understanding the technical requirements without extensive explanation.
Job responsibilities
- Build and deliver software that enables agentic AI operations for Client360 (e.g., services, workflow components, integrations, automations, internal tools), working within established platform standards.
- Partner with architecture and engineering leads to implement the target-state Agentic AI workbench and integrated control environment, including connectivity patterns, orchestration hooks, and evaluation/monitoring integrations.
- Own small-to-medium engineering deliverables end-to-end: requirements clarification, design approach, implementation, testing, release, and post-release support.
- Contribute to code reviews and quality gates; proactively identify broken or risky changes and either fix them or propose specific remediations.
- Support operational readiness by contributing to runbooks, instrumentation/telemetry, dashboards/alerts (where applicable), incident learnings, and ongoing production hygiene.
- Contribute to CI/CD and release practices by working with automated build/test pipelines, deployment workflows, environment promotion, deployment verification, and rollback readiness.
- Help coordinate integration with platform and data operations teams to pivot workflows into agent-led operations while maintaining reliability, auditability, and a strong user experience.
- Support risk/control-aligned delivery by contributing to traceability and evidence (requirements → build → deployment → monitoring), in partnership with relevant SMEs and control functions.
- Assist in establishing and tracking KPIs (stability, adoption, time-to-value, automation effectiveness) and using data to drive continuous improvement.