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Senior Gen AI Developer -Vice President

Citigroup

Senior Gen AI Developer -Vice President

Citigroup

TAMPA, Florida, United States of America; IRVING, Texas, United States of America

·

On-site

·

Full-time

·

1w ago

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.

Key Responsibilities:

  • Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.

  • Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.

  • Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).

  • Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.

  • Contribute to the development and optimization of real-time and streaming AI solutions.

  • Stay current with the latest advances in generative AI and actively share knowledge with the team.

  • Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.

  • Mentor junior team members, provide code reviews, and foster a culture of technical excellence.

Required Technical Skills:

  • Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.

  • Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as Deep Speed, vLLM, GPTQ, or similar.

  • Proficient in prompt engineering and familiarity with prompt design tools/frameworks.

  • Experience building RAG systems, including hybrid search and multi-vector retrieval.

  • Proficient with machine learning frameworks (Py Torch, Tensor Flow, Keras) and distributed training.

  • Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.

  • Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.

  • Familiarity with generative AI tools like Lang Chain, Llama Index, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.).

  • Solid understanding of AI compliance, guardrails, and responsible AI practices.

  • Strong skills in Python and experience with data preprocessing, feature engineering, and API development.

Required Soft Skills:

  • Strong collaboration skills to work effectively in cross-functional teams.

  • Analytical and proactive approach to problem-solving.

  • Clear communication skills for both technical and non-technical audiences.

  • Eagerness to learn, innovate, and mentor less experienced developers.

Qualifications:

  • At least 5 years of experience in AI/ML, including significant experience in Generative AI.

  • Demonstrated portfolio of successful AI-driven projects in a business environment.

  • Experience working with AWS (or equivalent) cloud infrastructure for AI/ML.

Education:

  • Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.

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:

Mar 10, 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.

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About Citigroup

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

Employees

New York City

Headquarters

Reviews

3.3

4 reviews

Work Life Balance

3.0

Compensation

3.2

Culture

2.8

Career

2.5

Management

2.7

35%

Recommend to a Friend

Pros

Compensation increases for investment banking roles

Legitimate investment banking employer

Internship opportunities available

Cons

Unclear career progression paths

Limited meaningful experience in internships

Compensation raises lower than competitors

Salary Ranges

28 data points

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Business Risk Intermediate Analyst

1 reports

$77,165

total / year

Base

$67,100

Stock

-

Bonus

-

$77,165

$77,165

Interview Experience

5 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 40%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Programming Assessment

4

Hiring Manager Interview

5

Panel/Superday Interviews

6

Final Decision

Common Questions

Technical Knowledge

Case Study

Behavioral/STAR

Past Experience

Culture Fit