Gen AI Lead Engineer - Vice President

For additional information, please review .As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company.

Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
* Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
* Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
* Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
* Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
* Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
* Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
* Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
* Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
* 6-10 years of relevant experience in Apps Development or systems analysis role
* ** Core AI/ML Foundations:**  + Strong foundational knowledge in Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).
* ** Generative AI & LLM Expertise:**  +
** Extensive hands-on experience
** with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.  +
** Critical:
** Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.  + Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.  + Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.  + Hands-on experience with agentic framework-based use case implementation.  

+ Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
* ** Programming & Data Engineering:**  + Strong programming proficiency in Python, including extensive experience with libraries such as Pandas, Num Py, scikit-learn, PyTorch, Tensor Flow, Transformers, FastAPI, Seaborn, Lang Chain, and Llama Index.  + Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.  + Hands-on experience with various vector databases (e.g., PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.  

+ Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.
* ** Deployment & MLOps:**  +
** Critical:
** Hands-on experience deploying GenAI-based models to production environments.  + Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.  + Strong expertise in CI/CD principles and tools (e.g., Jenkins, Git Lab CI, Azure Dev Ops, ArgoCD) for automated builds, testing, and deployments.
* ** Cloud & Containerization:**  + Proven experience with container orchestration platforms like Open Shift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.
* *
* Soft Skills:

**  + Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems.
* Bachelor’s degree/University degree or equivalent experience
* Master’s degree preferred
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