Senior Generative AI Engineer - Vice President

Citigroup Inc.; Irving (TX); On-site; USD 126,000 - 189,000; Full time

Job summary

Citigroup Inc. in Irving, TX is seeking a Senior Generative AI/AI Engineer to lead end‑to‑end AI initiatives. You will design, prototype, and deploy Generative AI and Agentic AI solutions, collaborating with business stakeholders to translate requirements into scalable, production‑ready systems.

The role requires 6+ years' experience, strong Python expertise, and hands‑on ML/DL with modern frameworks. Expect a dynamic environment using OpenShift/Kubernetes and a focus on maintainable, robust

Qualifications

• At least 6+ years of relevant experience.
• Python proficiency with AI-centric libraries (NumPy, Pandas, Scikit-learn).
• Solid ML/DL understanding and practical experience.
• Demonstrable Generative AI, LLMs, and Agentic AI experience.
• Data handling and preprocessing of large datasets (cleaning, feature engineering).
• MLOps awareness, containerization with Docker and deployment on OpenShift/Kubernetes.

Responsibilities

• Execute and drive results on large-scale AI efforts or multiple AI projects, serving as a development lead.
• Design, build, and prototype Generative and Agentic AI applications with speed and agility.
• Implement, train, and fine-tune ML/DL models to solve complex business problems.
• Develop and maintain clean, scalable code for production‑level AI/ML systems.
• Engineer and manage data pipelines for training and inference.
• Utilize MLOps to deploy AI apps in containerized environments like OpenShift, ensuring monitoring and reliability.
• Monitor and research AI trends, lead proof‑of‑concepts, and integrate new technologies.
• Collaborate with senior engineers, architects, and product managers to translate requirements.

Skills

Python

ML/DL fundamentals

Generative AI

LLMs

Data preprocessing

MLOps

Problem solving

Education

Bachelor's in Engineering or equivalent

Tools

Docker

OpenShift

Kubernetes

PyTorch

TensorFlow

FastAPI

LangChain

Pinecone

Job description

The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Senior Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting‑edge AI solutions that will shape the future of our industry. This is a pivotal role in driving our AI strategy, from conceptualization through to production. We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well‑governed AI solutions. The ideal candidate will be a technical expert collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.
Responsibilities:

• Accountability : Executing and driving results on large-scale AI efforts or multiple smaller AI efforts and serving as a development lead for most medium and large AI projects. This includes expertise with application development methodologies, generative AI & AI and standards for program analysis, design, coding, testing, debugging and implementation.
• Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
• Implement AI Models: Implement, train, and fine‑tune a variety of machine learning and deep learning models to solve complex business problems.
• Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production‑level quality.
• Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high‑quality data for training and inference.
• Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
• Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof‑of‑concept projects to integrate new technologies into our stack.
• Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.

Required Skills and Qualifications :

• Atleast 6+ years of relevant experience
• Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI‑centric libraries (e.g., NumPy, Pandas, Scikit‑learn).
• ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
• Generative AI Experience: Demonstrable understanding of and hands‑on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
• Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
• MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
• Problem‑Solving: Strong analytical and problem‑solving skills with the ability to tackle complex challenges independently.

Core Technical Stack & Expertise:

The ideal candidate will have hands‑on experience or deep familiarity with the following technologies:

• LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
• Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
• Orchestration: LangGraph and conceptual understanding of building Multi‑Agent Systems.
• Development: Building production‑ready services using Python, FastAPI, and asynchronous programming patterns.
• RAG (Retrieval‑Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
• ML/DL Platforms: PyTorch and/or TensorFlow for building and fine‑tuning models.
• Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
• Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.

Education:

• Bachelor’s in Engineering degree, or equivalent work experience

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

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:

Sep 11, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate’s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision‑making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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