Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

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.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together

We are seeking a highly skilled and experienced AI/Generative AI Engineer to join our innovative team. The ideal candidate will possess a strong foundation in machine learning and data science, coupled with deep hands-on expertise in building, deploying, and scaling cutting-edge Generative AI solutions. This role requires a critical understanding of LLM architectures, RAG pipelines, and MLOps best practices, along with robust programming skills and experience with modern cloud-native deployment strategies.

Responsibilities:

• 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.

Recommended Qualifications:

• 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, Py Torch, 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, GitLab CI, Azure DevOps, 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.

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

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:

Mar 01, 2026
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.