Lead Gen AI Engineer - Vice President

Job Overview ============ We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and **agentic AI** solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise in context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and play a key role in delivering scalable, grounded AI solutions to enhance automation and operational efficiency. This role centers on architecting robust applications and agent systems on top of pre-trained and hosted foundation models — not on training or fine-tuning models. Key Responsibilities ==================== * Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges. * Architect advanced **context engineering** strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production. * Design and implement advanced generative AI methods, including sophisticated **prompt engineering** and **Retrieval-Augmented Generation (RAG)**. * Build and optimize **RAG systems**, including hybrid search, multi-vector retrieval, and re-ranking pipelines. * Design and implement **knowledge graphs** and **Graph RAG** architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains. * Architect **agentic workflows and multi-agent systems** using **Google Agent Development Kit (ADK)** and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer. * Design robust **agent harnesses** — governance, constraints, feedback loops, state/session management, and execution controls that make long-running agent systems reliable and safe. * Integrate agents with tools and data via the **Model Context Protocol (MCP)** and orchestrate inter-agent collaboration and task delegation via the **Agent2Agent (A2A)** protocol. * Support the integration of GenAI and agentic applications into production environments, ensuring robust deployment, scalability, observability, and maintainability. * Contribute to the development and optimization of real-time and streaming AI solutions. * Stay current with the latest advances in generative and agentic AI and actively share knowledge with the team. * Ensure adherence to ethical AI guidelines, guardrails, agent isolation/sandboxing, data privacy, and compliance standards. * Mentor junior team members, provide code reviews, and foster a culture of technical excellence. Required Technical Skills ========================= * Deep, hands-on expertise in **core generative AI concepts** — foundation models, LLMs, embeddings, tokenization, and context-window management. * Advanced skills in **prompt engineering** and **context engineering**, including familiarity with prompt design tools/frameworks and dynamic context orchestration. * Strong experience building **RAG systems**, including chunking strategies, hybrid search, and multi-vector retrieval. * Practical experience designing **knowledge graphs** and **Graph RAG** pipelines (e.g., using graph databases such as Neo4j or ArangoDB) for relationship-aware, multi-hop retrieval. * Proven experience building **agentic AI systems** with **Google ADK** and/or comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), including tool/function calling, planning, and memory. * Strong grasp of **multi-agent orchestration** patterns (supervisor/worker, hierarchical, peer-to-peer) and **harness engineering** (governance, feedback loops, execution controls, agent isolation/sandboxing). * Hands-on experience with **agent interoperability protocols** — the **Model Context Protocol (MCP)** for tool/data access and the **Agent2Agent (A2A)** protocol for inter-agent collaboration. * Experience with **agent observability and evaluation** (e.g., tracing, OpenTelemetry-based tooling) for production agent systems. * Proficiency with **major GenAI APIs** (OpenAI, Gemini, Claude, etc.) and orchestration frameworks such as **LangChain and LlamaIndex**. * Strong skills in **NLP** (NER, dependency parsing, text classification, topic modeling). * Proficiency with **vector databases** and embedding models for large-scale retrieval. * Experience with containerization (**Docker**), orchestration (**Kubernetes**), and CI/CD pipelines for AI/agentic applications. * Solid understanding of AI compliance, guardrails, and responsible AI practices. * Strong skills in **Python** and experience with data preprocessing, document ingestion, and API development. Required Soft Skills ==================== * Strong collaboration skills to work effectively in cross-functional teams. * Analytical and proactive approach to problem-solving. * Clear communication skills for both technical and non-technical audiences. * Eagerness to learn, innovate, and mentor less experienced developers. Qualifications ============== * Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field. * 5–7 years of experience in AI/software development, including significant experience in Generative AI and agentic AI. * Demonstrated portfolio of successful AI-driven projects in a business environment. * Experience working with AWS (or equivalent) cloud infrastructure for AI/GenAI. \------------------------------------------------------ **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](https://www.citigroup.com/citi/accessibility/application-accessibility.htm)._ _View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._