Home Jobs GenAI Engineer - GenAI Applications in Finance
Back to Jobs

GenAI Engineer - GenAI Applications in Finance - Job Opportunity at Citi

Mississauga, Canada
Full-time
Mid-level
Posted: July 12, 2025
On-site
CAD 95,000 - CAD 130,000 per year based on the mid-level experience requirements, specialized GenAI skills, and Citi's position as a major financial institution in the Toronto metropolitan area. The salary reflects the high demand for GenAI expertise in financial services and the premium that major banks pay for AI talent.

Key Responsibilities

Drive the development and fine-tuning of enterprise-grade large language models (LLMs) and GenAI models specifically engineered for complex financial applications, directly impacting the organization's competitive advantage in AI-driven financial services
Lead the design and implementation of intelligent chatbot solutions that will revolutionize customer interactions and internal operations, positioning the organization at the forefront of conversational AI in finance
Transform vast repositories of structured and unstructured financial data into training datasets that optimize GenAI model performance, enabling data-driven decision making across financial operations
Architect and optimize sophisticated Retrieval Augmented Generation (RAG) pipelines that enhance model accuracy and relevance, creating scalable solutions for enterprise-wide deployment
Pioneer effective prompting strategies for LLMs that maximize performance for specialized financial tasks, establishing best practices that drive organizational AI excellence
Conduct comprehensive testing, evaluation, and performance analysis of LLMs and GenAI models, providing strategic insights that guide future AI investments and implementations
Establish robust model evaluation and monitoring frameworks that ensure consistent performance and reliability of AI systems in production environments
Foster cross-functional collaboration with data scientists, engineers, and business stakeholders to align AI initiatives with strategic business objectives
Champion end-to-end implementation of GenAI projects from conception to deployment, ensuring successful delivery of transformative AI solutions
Cultivate expertise in emerging GenAI best practices and methodologies, positioning the organization as an industry leader in AI innovation

Requirements

Education

Bachelor's or master's degree in a relevant field

Experience

2-5 years of experience in data science or a related field, with a demonstrable interest and some practical experience in GenAI

Required Skills

Understanding of GenAI models and architectures Good Python programming skills and familiarity with relevant libraries Experience with prompt engineering and optimizing LLM outputs Strong analytical and problem-solving skills Familiarity with deep learning frameworks is a plus Understanding of NLP and text processing techniques is desirable Experience with cloud computing platforms is a plus Excellent communication and collaboration skills
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The financial services sector is experiencing unprecedented adoption of generative AI technologies, with major institutions investing billions in AI infrastructure to maintain competitive advantages. This trend is driven by the need to enhance customer experience, automate complex financial processes, and improve risk management capabilities through intelligent automation. Regulatory bodies are increasingly focusing on AI governance and explainability in financial services, creating demand for professionals who can develop compliant AI solutions. This regulatory environment is shaping how financial institutions approach AI implementation, requiring expertise in both technical development and regulatory compliance. The integration of large language models with traditional financial systems is creating new paradigms for data analysis, customer service, and operational efficiency. Financial institutions are particularly interested in RAG implementations that can leverage proprietary financial data while maintaining security and compliance standards. Vector databases and advanced retrieval systems are becoming critical infrastructure components for financial AI applications, as institutions seek to create more contextual and accurate AI responses using their vast repositories of financial data and documentation.

Role Significance

Typically part of a specialized AI/ML team of 8-15 professionals within a larger technology organization, working closely with senior data scientists, ML engineers, and business stakeholders. The collaborative nature suggests integration with multiple cross-functional teams across the financial services organization.
This role represents a mid-level position with significant growth potential, positioned as a key contributor to Citi's AI transformation strategy. The role combines hands-on technical development with strategic input on AI implementation, indicating substantial influence on the organization's AI direction and future capabilities.

Key Projects

Development of customer-facing chatbots for banking services that can handle complex financial inquiries and transactions Implementation of document processing systems that can analyze and extract insights from financial reports, loan applications, and regulatory documents Creation of risk assessment models that leverage natural language processing to evaluate financial market sentiment and news impact Building internal knowledge management systems that enable employees to query vast financial databases using natural language interfaces

Success Factors

Deep understanding of both generative AI technologies and financial services domain knowledge, enabling the development of solutions that address real business challenges while maintaining regulatory compliance and security standards Ability to translate complex technical concepts into business value propositions, facilitating stakeholder buy-in and successful project implementation across diverse organizational units Strong project management and collaboration skills to navigate the complex stakeholder landscape typical of large financial institutions, ensuring successful delivery of AI initiatives that meet both technical and business requirements Continuous learning mindset to stay current with rapidly evolving GenAI technologies and their applications in financial services, maintaining competitive advantage through technical innovation Risk management awareness specific to AI implementations in regulated financial environments, understanding the implications of AI decisions on customer trust and regulatory compliance

Market Demand

Exceptionally high demand driven by the rapid adoption of generative AI across financial services, with limited supply of professionals possessing both financial domain knowledge and advanced GenAI technical skills. This supply-demand imbalance is creating significant opportunities for qualified candidates.

Important Skills

Critical Skills

Python programming proficiency is absolutely essential as it serves as the primary language for AI/ML development, data manipulation, and integration with existing financial systems. The ability to write efficient, maintainable code directly impacts project success and system performance Deep understanding of GenAI models and architectures is crucial for making informed decisions about model selection, customization, and optimization for specific financial use cases. This knowledge enables effective problem-solving and innovation in AI applications Prompt engineering expertise is becoming increasingly critical as organizations seek to maximize the value of large language models through effective interaction design. This skill directly impacts the quality and reliability of AI-powered financial applications Experience with RAG pipelines and vector databases is essential for creating AI systems that can effectively leverage proprietary financial data while maintaining accuracy and relevance in responses

Beneficial Skills

Financial domain knowledge accelerates the development of relevant AI solutions and enhances collaboration with business stakeholders, leading to more successful project outcomes and career advancement opportunities Cloud platform experience enables scalable deployment of AI solutions and reduces implementation complexity, making professionals more valuable in enterprise environments where cloud adoption is accelerating Open-source contributions demonstrate technical expertise and community engagement, enhancing professional reputation and providing networking opportunities within the AI/ML community Deep learning framework familiarity provides flexibility in model development and optimization, enabling more sophisticated AI solutions and greater technical versatility

Unique Aspects

This role offers rare exposure to the intersection of cutting-edge generative AI technology and traditional financial services, providing experience with both emerging technologies and established financial processes that few other positions can match
The opportunity to work with proprietary financial data and develop AI solutions that directly impact millions of customers worldwide, creating tangible business value while advancing the field of AI in financial services
Access to Citi's extensive technology infrastructure and resources, including enterprise-grade cloud platforms, advanced security frameworks, and comprehensive AI development tools that enable large-scale implementation of GenAI solutions
The role provides exposure to regulatory compliance requirements specific to AI in financial services, offering specialized knowledge that is increasingly valuable as the industry navigates evolving AI governance frameworks

Career Growth

Progression to senior technical roles typically occurs within 2-3 years with demonstrated expertise and successful project delivery, while transition to leadership or specialized architect roles may take 3-5 years depending on business impact and leadership development.

Potential Next Roles

Senior GenAI Engineer or Lead AI Engineer positions focusing on complex financial AI architecture and team leadership AI Product Manager roles overseeing the strategic development and deployment of AI products within financial services Principal Data Scientist positions specializing in advanced AI research and development for financial applications AI Solutions Architect roles designing enterprise-wide AI infrastructure and integration strategies

Company Overview

Citi

Citi is a globally systemically important bank and one of the largest financial institutions worldwide, with a strong presence in investment banking, commercial banking, and consumer financial services. The company has been investing heavily in digital transformation and AI technologies to maintain its competitive position in the evolving financial services landscape.

As one of the 'Big Four' banks in the United States with significant global operations, Citi maintains a leadership position in financial services innovation and technology adoption. The company's substantial investment in AI and machine learning initiatives positions it as a key player in the fintech evolution.
Citi's significant presence in Canada, particularly in the Greater Toronto Area including Mississauga, represents a strategic hub for North American operations. This location provides access to Canada's strong technology talent pool and serves as a bridge between US headquarters and international operations.
Large financial institutions like Citi typically offer structured career development programs, extensive training opportunities, and exposure to cutting-edge financial technologies. The work environment emphasizes collaboration, regulatory compliance, and innovation within established frameworks, providing stability and growth opportunities for AI professionals.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.