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.
ResponsibilitiesDesign, 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.
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.
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.
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.
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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 AIWe 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.
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This job opening is for an existing job vacancy.
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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.
Skills Required
- 5+ years of experience in AI/ML development with GenAI application delivery
- Deep understanding of GenAI models and architectures (transformers, LLMs, GANs, diffusion models) and familiarity with Agentic AI concepts
- Experience with prompt engineering, fine-tuning LLMs, and model evaluation
- Expert-level Python programming skills
- Proficiency with libraries and frameworks: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask or Django
- Experience designing and implementing RAG pipelines and working with vector databases (Pinecone, Weaviate, Chroma, Faiss, PostgreSQL pgvector)
- Strong software engineering skills including containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions, Jenkins) and cloud infrastructure (AWS, Azure, GCP)
- Experience with MLOps principles and tools (e.g., MLflow, Kubeflow)
- Strong analytical, problem-solving, communication, and collaboration skills
- Experience with financial data/applications (fraud detection, risk management, personalized finance)
- Familiarity with chatbot development frameworks, conversational AI design, and NLU
- Experience with data visualization and reporting tools (Tableau, Power BI, matplotlib, seaborn)
- Experience with SQL and NoSQL databases
- Publications or conference presentations in AI/ML or GenAI
- Master's degree or PhD in Computer Science, Engineering, Statistics, or equivalent experience
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
What We Do
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