Gen AI-ML Engineer, AVP
Citi
•
Irving, TX
0
0
0
0
Not Applicable
Posted April 2, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting.
- Explore and experiment with advanced GenAI concepts like Agentic AI.
- Design and implement intelligent chatbots.
- Process and analyze large datasets of structured and unstructured financial data.
- Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.
- Develop and refine advanced prompting strategies for LLMs.
- Test, evaluate, and analyze the performance of LLM and other GenAI models.
- Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.
- Communicate effectively with business stakeholders.
- Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.
Commitments
Applications Development
Time Type:
Full time
Primary Location:
Irving Texas United States
Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 08, 2026
Not Met Priorities
What still needs stronger evidence
Requirements
- 5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.
- Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models.
- Familiarity with Agentic AI concepts.
- Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.
- Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).
- Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.
- Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).
- Strong analytical, problem-solving, and communication skills.
- Experience with MLOps principles and tools.
- Excellent collaboration skills.
- Technology Stack
- Programming Languages: Python (expert proficiency required)
- Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.
- Deep Learning Frameworks: TensorFlow, PyTorch
- LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.
- Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).
- Cloud Platforms: AWS, Azure, GCP
- MLOps Tools: MLflow, Kubeflow, or similar.
- Containerization: Docker, Kubernetes
- CI/CD Tools: GitHub Actions, Jenkins, or similar.
- Version Control: Git
- Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.
- Databases: SQL and NoSQL databases.
Preferred Skills
- Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.
- LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.
- Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).
- MLOps Tools: MLflow, Kubeflow, or similar.
- Containerization: Docker, Kubernetes
- CI/CD Tools: GitHub Actions, Jenkins, or similar.
- Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.
- Databases: SQL and NoSQL databases.
Education
- (Not required) – Education:
- (Not required) – Bachelor’s degree/University degree or equivalent experience
Overview Of The Role
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.
The Gen AI-ML Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities
Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI.
Design and implement intelligent chatbots.
Process and analyze large datasets of structured and unstructured financial data.
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.
Develop and refine advanced prompting strategies for LLMs.
Test, evaluate, and analyze the performance of LLM and other GenAI models.
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.
Communicate effectively with business stakeholders.
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.
Required Skills And Qualifications
5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts.
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).
Strong analytical, problem-solving, and communication skills.
Experience with MLOps principles and tools.
Excellent collaboration skills.
Technology Stack
Programming Languages: Python (expert proficiency required)
Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.
Deep Learning Frameworks: TensorFlow, PyTorch
LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.
Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).
Cloud Platforms: AWS, Azure, GCP
MLOps Tools: MLflow, Kubeflow, or similar.
Containerization: Docker, Kubernetes
CI/CD Tools: GitHub Actions, Jenkins, or similar.
Version Control: Git
Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.
Databases: SQL and NoSQL databases.
Education:
Bachelor’s degree/University degree or equivalent 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:
$107,120.00 - $160,680.00
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:
Apr 08, 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.
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.
The Gen AI-ML Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities
Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI.
Design and implement intelligent chatbots.
Process and analyze large datasets of structured and unstructured financial data.
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.
Develop and refine advanced prompting strategies for LLMs.
Test, evaluate, and analyze the performance of LLM and other GenAI models.
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.
Communicate effectively with business stakeholders.
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.
Required Skills And Qualifications
5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts.
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).
Strong analytical, problem-solving, and communication skills.
Experience with MLOps principles and tools.
Excellent collaboration skills.
Technology Stack
Programming Languages: Python (expert proficiency required)
Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.
Deep Learning Frameworks: TensorFlow, PyTorch
LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.
Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).
Cloud Platforms: AWS, Azure, GCP
MLOps Tools: MLflow, Kubeflow, or similar.
Containerization: Docker, Kubernetes
CI/CD Tools: GitHub Actions, Jenkins, or similar.
Version Control: Git
Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.
Databases: SQL and NoSQL databases.
Education:
Bachelor’s degree/University degree or equivalent 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:
$107,120.00 - $160,680.00
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:
Apr 08, 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.