Citigroup, Inc

AI Engineer - Assistant Vice President

Citigroup, Inc$94K — $141K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of AI/ML development experience, specializing in GenAI applications.
  • Deep understanding of GenAI models and architectures, especially transformers and LLMs.
  • Extensive expertise in prompt engineering and performance evaluation of LLMs.
  • Expert-level Python programming skills with proficiency in key data science libraries.
  • Experience with vector databases and RAG pipeline implementations.
  • Strong software engineering skills, including cloud management and CI/CD workflows.
  • Analytical and collaborative skills, with effective communication abilities.

Responsibilities

  • Design and implement GenAI solutions for financial applications such as risk assessment and fraud detection.
  • Develop intelligent AI Agents to enhance operational efficiency.
  • Process large datasets of financial information, both structured and unstructured.
  • Architect RAG pipelines using advanced tools like LlamaIndex and LangChain.
  • Refine advanced prompting strategies for LLMs to optimize performance.
  • Test and evaluate LLMs and other GenAI models for effectiveness.
  • Collaborate with engineering teams for deployment and maintenance of GenAI models.

Benefits

  • Opportunities for continuous learning and development in cutting-edge AI technologies.
  • Collaborative work environment that fosters innovation and problem-solving.
  • Engagement in impactful projects that contribute significantly to financial operations.
  • Access to advanced tools and technologies for AI development.
  • Potential for professional growth within a leading global organization.
Full Job Description
Role Overview

We are seeking a highly skilled and passionate Senior GenAI Specialist to join our team in Mississauga, Canada. You will play a key role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI, within our financial operations. This role offers a challenging opportunity to contribute to impactful projects, leveraging deep technical expertise in GenAI, LLMs, RAG pipelines, vector databases, chatbot development, and related technologies. You will collaborate with engineers and stakeholders and drive innovation by applying GenAI to solve complex financial problems.

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 AI Agents.
  • 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.

Preferred Qualifications
  • Experience with financial data and applications, particularly in areas like fraud detection, risk management, or personalized financial advice.
  • Strong understanding of financial markets and instruments.
  • Familiarity with chatbot development frameworks and best practices, including conversational AI design and natural language understanding (NLU).
  • Experience leading or contributing to complex data science or AI/ML projects in a fast-paced environment.
  • Publications or presentations at conferences related to AI/ML or GenAI.
  • Experience with data visualization and reporting tools (e.g., Tableau, Power BI, matplotlib, seaborn).
  • Experience with SQL and NoSQL databases.
  • Master's degree or PhD in Computer Science or Relevant experience, Engineering, Statistics, or a related field.

Technology Stack
  • Programming Languages: Python (expert proficiency required), SQL
  • 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.


Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary Location Full Time Salary Range:
$94,300.00 - $141,500.00

Most Relevant Skills
Please see the requirements listed above.

Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.

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.

This job opening is for an existing job vacancy.

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

Citigroup, Inc Careers

Join the vibrant team at Citigroup, Inc, a leading global bank, and propel your career into the future. Citigroup offers a plethora of job opportunities that span across various fields and expertise, making it an ideal place for ambitious professionals to thrive.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ

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