Client Servicing Solutions Lead - Senior Vice President

Citi's Investor Services Technology group is seeking an exceptional  Software Engineer to join as a hands-on technical leader building the Investor Services Workbench (ISW) — Citi's unified platform for client onboarding, lifecycle management, operational workflow orchestration, and real-time business activity visibility across Custody, Fund Services, and Securities Finance.

This is an Engineering role first. The right candidate uses AI-assisted development tools to write production ready code and ships features on a continuous cadence. You will be embedded within ISW delivery squads, contributing directly to backend services, workflow engines, API layers, and client-facing features, while also serving as a domain authority who ensures the platform is built on a sound understanding of Custody and Fund Services operations.

You will collaborate closely with product owners, UX engineers, data architects, and operations SMEs. Your code, your reviews, and your domain knowledge will directly shape how institutional clients and Citi operations teams experience the Workbench.

Responsibilities:

• Hands-On Feature Delivery

  Design, develop, test, and ship production-quality features across the ISW backend (Java/Spring Boot) and frontend (React/TypeScript) — contributing to every sprint with meaningful, reviewed, merged code.

• AI-Augmented Development

  Use AI pair-programming tools (GitHub Copilot, Cursor, Claude) as a first-class part of your daily workflow — for code generation, test synthesis, refactoring, documentation, and API design acceleration. Champion adoption across squads.

• Domain Translation

  Apply deep Custody and Fund Services domain knowledge to translate business requirements into technically precise, implementation-ready specifications — bridging the gap between operations SMEs and engineering squads without information loss.

• Workflow & Event Engineering

  Design and build complex, multi-step business workflows using event-driven patterns on Apache Kafka — covering client processing activities, exception escalation, SLA monitoring, and lifecycle state machines for IS operations.

• AI Feature Engineering

  Build AI-powered features directly into the ISW — including LLM-driven intelligent assist for operations teams, NLP-powered search and query across IS data, and RAG-based knowledge tools that surface contextual insights within the Workbench UI.

• API Design & Integration

  Design clean, versioned REST and GraphQL APIs that expose ISW capabilities to the client portal and internal consumers — ensuring API contracts are well-documented, backward-compatible, and aligned with IS canonical data models.

• Technical Mentorship

  Elevate the engineering quality of the wider ISW team through rigorous code reviews, pairing sessions, architecture discussions, and knowledge sharing — particularly around AI tooling adoption, domain-driven design, and clean code practices.

  Quality & Resilience

  Champion engineering excellence — writing comprehensive unit, integration, and contract tests; instrumenting observability with Open Telemetry; conducting chaos engineering experiments; and maintaining the ISW platform at five-nines operational standards.

Experience:

This role explicitly requires advanced, daily usage of AI-assisted development tools as part of the standard engineering workflow. Candidates should be prepared to discuss specific AI tools they use, how they prompt them effectively, how they validate AI-generated output, and how AI has measurably changed their development velocity.

• Advanced AI-Assisted Development — A Must, Not a Plus

• Expert-level proficiency in Java and the Spring Boot ecosystem — including Spring Security, Spring Data, Spring WebFlux, and Spring Integration

• Strong frontend capability in React and TypeScript— able to build, review, and own feature-complete UI components, state management patterns, and API integration layers

• Deep experience with event-driven architecture— Apache Kafka, schema registries, Avro serialization, consumer group management, and exactly-once delivery patterns

• Hands-on experience with BPM / workflow engines— including BPMN modelling, saga orchestration, and long-running process management

• Proficiency in GraphQL API design including federation, schema stitching, resolver optimization, and data loader patterns for high-throughput institutional data APIs

• Strong command of cloud-native patterns— Kubernetes, service mesh, circui