About this role
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.
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