Agentic AI Associate – Client 360

Overview

In this role you will build and operate agentic AI solutions for Client360, enabling intelligent automation at scale. You will collaborate with architecture, engineering, and operations teams to create a reliable, auditable agent-led workflow environment and drive continuous improvement. You’ll translate complex requirements into practical software, contribute to release readiness, and measure impact through KPIs. This is an opportunity to shape AI-enabled operations in a regulated, data-driven financial services context.

Responsibilities

• Build and deliver software enabling agentic AI operations for Client360 including services, workflow components, integrations, and automations
• Partner with architecture and engineering to implement the target-state Agentic AI workbench and control environment
• Own end-to-end engineering deliverables from requirements to post-release support
• Contribute to code reviews and quality gates; identify and remediate risky changes
• Support operational readiness with runbooks, instrumentation, dashboards, alerts, incident learnings, and production hygiene
• Contribute to CI/CD and release practices with automated pipelines, deployment workflows, and rollback readiness
• Coordinate integration with platform and data operations to pivot workflows to agent-led operations while ensuring reliability and user experience
• Support risk/control delivery through traceability and evidence in partnership with SMEs and control functions
• Assist in establishing and tracking KPIs (stability, adoption, time-to-value, automation effectiveness) and use data for continuous improvement
• Collaborate with stakeholders across Markets, Payments, Global Banking, and Private Bank to drive consistency and adoption of agentic AI solutions

Key requirements

• 2–4+ years of real-world software delivery experience
• Ability to operate with minimal technical hand-holding and independently implement fixes
• Hands-on experience with AI coding assistants (GitHub Copilot and/or Claude Code) with understanding of their limitations
• Strong fundamentals: version control, code reviews, testing, debugging, operational excellence
• Familiarity with CI/CD, automated pipelines, deployment workflows, release hygiene, safe change practices

• strong communication and collaboration
• ability to explain technical concepts to non-technical stakeholders
• proactive problem-solving and judgment
• AI-enabled systems and agentic workflows (LLM-enabled automation)
• observability and monitoring for AI/automation in production
• experience with regulated environments and secure SDLC practices

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