The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.

We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.

Responsibilities:

• 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., Py Torch, 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 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, especially concerning responsible AI and GenAI ethics.

Qualifications:

• **Experience:**10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and **demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions. **

• Technical Proficiency:

Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.

• Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.

• Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.

• Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.

• Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.

• Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.

• Proficiency with key Python AI/ML libraries and frameworks such as Py Torch, Tensor Flow, Hugging Face Transformers, Lang Chain, Llama Index, scikit-learn, pandas, and numpy.

• Experience with MLOps practices, version control (Git), and collaborative development environments.

• Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.

• Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.

• Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.

• Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.

Education:

• Bachelor’s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.

• Master’s degree or Ph.D. preferred, especially with a focus on Artificial Intelligence, Machine Learning, or Natural Language Processing.

We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.

Responsibilities:

• Design, develop, and implement AI/ML models and algorithms, including exploring and applying GenAI techniques, for financial applications.
• Analyze large datasets, identify patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate.
• Build and maintain data pipelines for data ingestion, processing, and transformation, considering the specific requirements of GenAI models.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions, incorporating GenAI possibilities into the discussion.
• Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks and libraries.
• Develop and maintain documentation for AI/ML models and systems, specifically addressing GenAI implementations.
• Manage and monitor the performance of deployed AI/ML models, including evaluating the effectiveness and efficiency of GenAI components.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States:

Primary Location Full Time Salary Range:

$113,840.00 - $170,760.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills:

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Feb 27, 2026

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