Role OverviewWe are seeking a highly skilled and passionate Senior Gen AI Specialist to join our team in Mississauga, Canada. You will play a key role in designing, developing, and implementing cutting‑edge Generative AI (Gen AI) 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 Gen AI, LLMs, RAG pipelines, vector databases, chatbot development, and related technologies. You will collaborate with engineers and stakeholders and drive innovation by applying Gen AI to solve complex financial problems.ResponsibilitiesDesign, develop, and implement Gen AI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced Gen AI 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 Llama Index and Lang Chain.Develop and refine advanced prompting strategies for LLMs.Test, evaluate, and analyze the performance of LLM and other Gen AI models.Collaborate closely with engineering teams to deploy and maintain Gen AI 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 Gen AI research and development, including areas like Agentic AI.Required Skills and Qualifications5 years+ of experience in AI/ML development,



with a proven track record of building and deploying sophisticated Gen AI applications.Deep understanding of Gen AI 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, Lang Chain, Tensor Flow, Py Torch, Pandas, Num Py, Scikit‑learn, Flask/Django, Llama Index).Experience with vector databases (e.G., Pinecone, Weaviate, Chroma, Faiss, Postgre SQL with vector extensions) and implementing RAG pipelines using tools like Llama Index and Lang Chain.Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).Robust analytical, problem‑solving, and communication skills.Experience with MLOps principles and tools.Excellent collaboration skills.Preferred QualificationsExperience 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 Gen AI.Experience with data visualization and reporting tools (e.G., Tableau, Power BI, matplotlib, seaborn).Experience with SQL and No SQL databases.Master’s degree or Ph D in Computer Science or relevant experience, engineering, statistics, or a related field.Technology StackProgramming Languages: Python (expert proficiency required), SQLPython Packages: Transformers, Lang Chain, Llama Index, Tensor Flow, Py Torch, Pandas, Num Py, Scikit‑learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.Deep Learning Frameworks: Tensor Flow, Py TorchLLMs: Llama, Gemini, GPT‑4, and other advanced LLMs.Vector Databases: Pinecone, Weaviate, Chroma, Faiss, Postgre SQL with vector extensions (pgvector).Cloud Platforms: AWS, Azure, GCPMLOps Tools: MLflow, Kubeflow, or similar.Containerization: Docker, KubernetesCI/CD Tools: Git Hub Actions, Jenkins, or similar.Version Control: GitData Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.Databases: SQL and No SQL databases.Time TypeFull timePrimary Location Full Time Salary Range$94,300.00 - $141,500.00Equal Opportunity StatementCiti 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.Accessibility and EEO ResourcesIf 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.#J-18808-Ljbffr

📌 Ai Engineer - Assistant Vice President (Mississauga)
🏢 Citigroup
📍 Mississauga