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Senior Generative AI Engineer - Vice President

Citi · Irving, TX

Spotted 1h ago

Job details

Pay
$125,760 – $188,640 a year
Level
Executive
Experience
6+ years
Education
Bachelor's degree
Posted
Oct 14, 2026
Last confirmed open
Oct 14, 2026
Job description

About this role

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.

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 29, 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.

Illinois residents – AI Notice and Right ------------------------------------------------------ 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. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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