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GenAI Solutions Architect Lead Engineer - Vice President

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Citibank (Switzerland) AG
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
For additional information, please review .
* ** Highly Hands-on GenAI Development:
** Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.
* ** RAG Implementation Expertise:
** Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.
* ** Chatbot Development (Structured & Unstructured Data):
** Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.
* ** Document Processing & OCR Integration:
** Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.
* ** Dynamic SQL Generation using LLM:
** Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.
* ** Python Development & Ecosystem Mastery:
** Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, Tensor Flow, Hugging Face Transformers, Lang Chain, Llama Index, scikit-learn, pandas, numpy, FastAPI).
* ** Large Language Model (LLM) Application:
** Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.
* ** Data Analysis & Feature Engineering:
** Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.
* ** Data Pipeline Development:
** Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.
* *
* Cross-Functional Collaboration:

** Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.
* ** System Enhancements & Architecture:
** Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.
* ** Problem Resolution:
** Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.
* ** Tool & Technology Evaluation:
** Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS Sage Maker, Azure ML, Google AI Platform).
* ** Documentation & Monitoring:
** Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.
* ** Mentorship & Leadership:
** Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.
* ** Risk Assessment:
** Appropriately assess risk when business…
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