Client Servicing Solutions Lead - Senior Vice President

Client Servicing Solutions Lead - Senior Vice President Job Req Id: 26973637 Location(s): Jersey City, New Jersey, United States; Tampa, Florida, United States Job Type: Hybrid Posted: Jun. 30, 2026 Job Overview Citi's Investor Services Technology group is seeking an exceptional Software Engineer to lead the development of the Investor Services Workbench (ISW) , a unified platform for client onboarding, lifecycle management, operational workflow orchestration, and real‑time business activity visibility across Custody, Fund Services, and Securities Finance. As a hands‑on technical leader, you will use AI‑assisted development tools to generate production‑ready code and ship features on a continuous cadence. You will embed within ISW delivery squads, contribute to backend services, workflow engines, API layers, and client‑facing features, and serve as a domain authority ensuring a strong understanding of Custody and Fund Services operations. You will collaborate closely with product owners, UX engineers, data architects, and operations SMEs, and your code, reviews, and domain knowledge will 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). Deliver meaningful code in each sprint. AI‑Augmented Development – Use AI pair‑programming tools (GitHub Copilot, Cursor, Claude) for code generation, test synthesis, refactoring, documentation, and API design acceleration. Champion adoption across squads. Domain Translation – Apply deep Custody and Fund Services knowledge to translate business requirements into technically precise, implementation‑ready specifications. 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. AI Feature Engineering – Build AI‑powered features in the ISW, including LLM‑driven intelligent assistance, 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. Ensure contracts are well‑documented, backward‑compatible, and aligned with IS canonical data models. Technical Mentorship & Quality & Resilience – Elevate engineering quality through rigorous code reviews, pairing, architecture discussions, and knowledge sharing. Write comprehensive tests, instrument observability, conduct chaos engineering experiments, and maintain 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. Advanced AI‑Assisted Development – a must. 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 – BPMN modelling, saga orchestration, and long‑running process management. Proficiency in GraphQL API design – federation, schema stitching, resolver optimization, and data loader patterns. Strong command of cloud‑native patterns – Kubernetes, service mesh, circuit breakers, and distributed tracing. Rigorous testing discipline – unit, integration, contract (Pact), and performance testing with measurable coverage standards and automated quality gates. AI Proficiency Advanced, daily usage of AI pair‑programming tools – GitHub Copilot, Devin, Cursor, or equivalent, with demonstrated ability to accelerate feature delivery without sacrificing code quality. Proficiency in prompt engineering for software development – crafting effective prompts for code generation, refactoring, test synthesis, and technical documentation. Experience in validating and reviewing AI‑generated code – understanding of failure modes, hallucination risks, security implications, and tuning AI output for production‑readiness. Hands‑on experience building LLM‑powered product features – RAG pipelines, conversational search, document Q&A, or AI‑assisted workflow interfaces using LangChain, LlamaIndex, or equivalent. Ability to integrate LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock) securely into production Java/Spring Boot services with rate limiting, fallback handling, and cost controls. Understanding of AI governance in regulated environments – model risk considerations, data privacy constraints, and responsible AI practices relevant to financial services. Domain Custody operations – Settlement instruction processing, DVP/FOP flows, corporate actions, income collection, asset servicing, and reconciliation. Fund Services – Fund administration workflows, NAV calculation inputs, fund accounting transaction types, investor register management, transfer agency operations, and fund reporting data structures. Knowledge of key industry data standards – SWIFT MT/MX messages, ISO 20022 pain/camt/sese formats, and mapping to internal IS data models. Understanding of client onboarding and lifecycle management – account opening, KYC/AML data requirements, mandate capture, and ongoing client instruction management. Awareness of the regulatory context – AIFMD, UCITS, SFTR reporting obligations, audit trail requirements, and impact on system design. Appreciation for 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. Benefits Salary range: $176,720.00 – $265,080.00. Citi offers discretionary and formulaic incentive and retention awards for eligible employees. Competitive benefits include medical, dental, and vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off; and holiday packages. Benefits may vary by jurisdiction, job level, and date of hire. More information available at citibenefits.com. Equal Employment Opportunity Citi is an equal opportunity employer. Qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you are a person with a disability and need a reasonable accommodation, please review Accessibility at Citi. View Citi’s EEO Policy Statement and Know Your Rights poster. #J-18808-Ljbffr Citi