The Applications Development Group Manager (SVP) will serve as a senior engineering leader and technical authority responsible for driving the architecture, delivery, and scaling of enterprise-grade software platforms with a core focus on Generative AI and Agentic AI systems. The ideal candidate blends 10+ years of robust full-stack and distributed backend engineering leadership with deep hands-on expertise in frontier AI architectures, multi-agent frameworks, LLMOps, and enterprise AI governance.
1. Core Software Engineering & Architecture Leadership
•Hands-on Engineering Leadership: Extensive track record in designing, architecting, and delivering large-scale, high-throughput enterprise software applications.
•Backend & Enterprise Stack: Deep mastery of Java/J2EE enterprise ecosystem, multithreading, concurrency patterns, memory management, and asynchronous event-driven architectures.
•Modern Web & API Engineering: Proven experience in modern web technologies (HTML5, CSS3, React.js/modern JavaScript frameworks) and RESTful API design, microservices architecture, and API governance.
•Engineering Fundamentals: Strong command of Object-Oriented Design (OOPS/SOLID), Design Patterns, Data Structures, Algorithms, and distributed computing principles.
2. Generative AI, Foundation Models & Context Engineering
•Foundation Models & LLM Fundamentals: Deep theoretical and practical understanding of foundation models, Large Language Models (LLMs), embeddings, tokenization mechanics, attention mechanisms, and context-window optimization.
•Advanced Context Engineering: Hands-on mastery of production context management, including dynamic context layering, prompt chaining, context compression, memory pruning/offloading, and session-state persistence to maximize token efficiency, provenance, and output reliability.
•Advanced Prompt Engineering: Expertise in few-shot prompting, directional stimulus prompting, programmatic prompt pipelines, and automated prompt optimization frameworks.
3. Agentic AI, Multi-Agent Orchestration & Interoperability
•Multi-Agent System Architecture: Proven experience architecting and deploying production-grade agentic workflows using frameworks such as Google Agent Development Kit (ADK), LangGraph or OpenAI Agents SDK.
•Orchestration Patterns: Practical implementation of multi-agent patterns, including hierarchical supervisor/worker topologies, sequential planning, dynamic routing, reflection loops, and peer-to-peer collaboration.
•Agent Harness Engineering & Tooling: Strong grasp of agent harness mechanics, execution boundaries, sandboxing, feedback loops, human-in-the-loop (HITL) integration, and deterministic tool execution.
•Interoperability Protocols: Expertise in emerging agent communication and integration protocols, specifically:
•Model Context Protocol (MCP) for standardized tool, data, and service integration.
•Agent2Agent (A2A) protocols for inter-agent communication and task delegation across distributed systems.
4. Retrieval-Augmented Generation (RAG) & Knowledge Graphs
•Advanced RAG Architectures: Deep hands-on experience designing production RAG pipelines utilizing hybrid search, re-ranking models, parent-document/hierarchical chunking, multi-vector representations, and self-corrective RAG mechanisms.
•Vector Databases & Search Engines: Proficiency with enterprise vector storage solutions
5. LLMOps, Cloud & Infrastructure
•Containerization & Orchestration: Production mastery of Docker containerization and Kubernetes (OpenShift/EKS/GKE) cluster management, auto-scaling, and GPU/accelerator allocation.
•DevOps & LLMOps Pipelines: Deep knowledge of CI/CD automation, model registry workflows, automated regression testing, versioning (Git, DVC), continuous integration pipelines for prompts/models.
•Modern Python Web Frameworks: Strong proficiency in Python with direct development experience in modern asynchronous frameworks (FastAPI, AsyncIO) and high-performance data ingestion pipelines
Recommended Qualifications:
- 13+ years of relevant experience
- Experience in applications development
- Experience in management
- Experience managing global technology teams
- Working knowledge of industry practices and standards
- Consistently demonstrates clear and concise written and verbal communication
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
------------------------------------------------------
Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and 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, or 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.
Skills Required
- 10+ years of full-stack and distributed backend engineering leadership experience
- 13+ years of relevant experience
- Experience in applications development
- Experience in management
- Experience managing global technology teams
- Extensive experience designing, architecting, and delivering large-scale enterprise software applications
- Deep expertise in Java/J2EE, multithreading, concurrency, memory management, and asynchronous event-driven architectures
- Experience with HTML5, CSS3, React.js or modern JavaScript frameworks
- Experience with RESTful APIs, microservices architecture, and API governance
- Strong knowledge of object-oriented design, SOLID principles, design patterns, data structures, algorithms, and distributed computing
- Deep understanding of foundation models, LLMs, embeddings, tokenization, attention mechanisms, and context-window optimization
- Hands-on experience with context engineering and advanced prompt engineering
- Production experience architecting multi-agent systems using frameworks such as Google ADK, LangGraph, or OpenAI Agents SDK
- Experience implementing agent orchestration patterns, agent harnesses, sandboxing, feedback loops, and human-in-the-loop integration
- Expertise with Model Context Protocol and Agent2Agent protocols
- Hands-on experience designing production Retrieval-Augmented Generation pipelines and knowledge graph solutions
- Proficiency with enterprise vector storage solutions and search engines
- Production mastery of Docker and Kubernetes, including cluster management, autoscaling, and GPU allocation
- Deep knowledge of CI/CD, model registries, automated regression testing, Git, DVC, and LLMOps workflows
- Strong Python proficiency with FastAPI, AsyncIO, and high-performance data ingestion pipelines
- Working knowledge of industry practices and standards
- Clear and concise written and verbal communication skills
- Bachelor's degree or equivalent experience
- Master's degree
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
-
Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
-
Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
-
Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
