Client Servicing Solutions Lead - Senior Vice President

Responsibilities

• Hands-On Feature Delivery Design, develop, test
• 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
• 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
• 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
• 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
• 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
• knowledge sharing — particularly around AI tooling adoption, domain-driven design
• 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
• Spring Integration Strong frontend capability in React and TypeScript — able to build, review
• own feature-complete UI components, state management patterns
• API integration layers Deep experience with event -driven architecture — Apache Kafka, schema registries, Avro serialization, consumer group management
• exactly-once delivery patterns Hands-on experience with BPM / workflow engines — including BPMN modelling, saga orchestration
• long-running process management Proficiency in GraphQL API design including federation, schema stitching, resolver optimization
• data loader patterns for high-throughput institutional data APIs Strong command of cloud -native patterns — Kubernetes, service mesh, circuit breakers and distributed tracing.
• Rigorous testing discipline — unit, integration, contract (Pact)
• performance testing with measurable coverage standards and automated quality gates AI Proficiency: Advanced, daily usage of AI pair-programming tools — GitHub Copilot, Devin, Cursor
• equivalent — with demonstrated ability to use them to accelerate feature delivery without sacrificing code quality Proficiency in prompt engineering for software development — crafting effective prompts for code generation, refactoring, test synthesis
• technical documentation across complex enterprise codebases Experience in validating and reviewing AI-generated code — understanding failure modes, hallucination risks, security implications
• how to tune AI output for production-readiness Hands-on experience building LLM-powered product features — RAG pipelines, conversational search, document Q&A
• AI-assisted workflow interfaces using LangChain, LlamaIndex
• equivalent Ability to integrate LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock) securely into production Java/Spring Boot services — with appropriate rate limiting, fallback handling
• cost controls Understanding of AI governance in regulated environments — model risk considerations, data privacy constraints
• responsible AI practices relevant to financial services Domain: Custody operations: Working understanding of settlement instruction processing, DVP/FOP flows, corporate actions (mandatory and voluntary), income collection, asset servicing
• reconciliation — at the level needed to design and review software implementing these processes Fund Services: Familiarity with fund administration workflows — NAV calculation inputs, fund accounting transaction types, investor register management, transfer agency operations
• fund reporting data structures Knowledge of key industry data standards : SWIFT MT/MX messages, ISO 20022 pain/camt/sese formats
• their mapping to internal IS data models Understanding of client onboarding and lifecycle management in institutional asset servicing — account opening, KYC/AML data requirements, mandate capture
• ongoing client instruction management Awareness of the regulatory context for Custody and Fund Services technology: AIFMD, UCITS, SFTR reporting obligations
• audit trail requirements that shape system design decisions Appreciation for the complexity of multi-currency, multi-jurisdiction, multi-asset-class institutional operations data and its implications for software design Education: Bachelor's degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Jersey City New Jersey United States ------------------------------------------------------ Primary Location Full Time Salary Range: $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
• Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
• Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
• For additional information regarding Citi employee benefits, please visit citibenefits.com.
• Available offerings may vary by jurisdiction, job level
• date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jul 06, 2026 ------------------------------------------------------ Citi is an equal opportunity employer
• qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran
• any other characteristic protected by law.
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .
• View Citi’s EEO Policy Statement and the Know Your Rights poster.