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Citi

Staff Generative AI Engineer - Vice President

Mississauga, ON, Canada

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

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Original job description

We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.

As a Staff Generative AI Engineer, you will:

Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.
Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks.
Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI- assisted development tools like Devin and Copilot to amplify your productivity and creativity.
Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability.
Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating,
managing and reporting control issues with transparency.

Recommended Qualifications:

6+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).
Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production
environments.
Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.

Preferred Qualifications (Bonus Points):

Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.

Education:

Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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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.

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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.

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More about this job

Responsibilities

Lead the hands-on development and deployment of production-grade Generative AI applications and intelligent agentic frameworks. Drive technical strategy, mentor junior engineers, and ensure all AI solutions adhere to rigorous engineering standards and ethical guardrails.

Requirements

Requires 6+ years of professional software engineering experience with expert-level proficiency in Python and Generative AI technologies. Candidates must have a strong background in containerized deployments, specifically OpenShift, and experience delivering scalable enterprise solutions.

Skills

Python
Generative AI
Large Language Models
Agentic Frameworks
OpenShift
Containerization
Software Architecture
RAG
PostgreSQL
Vector Databases
Distributed Systems
Agile
Machine Learning
Data Engineering
Technical Leadership
Model Risk Management

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Python
OpenShift
Agentic Frameworks
LangChain
LangGraph
RAG
PostgreSQL
Vector Databases
Software Engineering
Production Systems
Automation
Containerization
Distributed Systems
Agile
Machine Learning
Data Engineering
Model Risk Management
Technical Strategy
Enterprise Solutions
Devin
Copilot
Transformer Architectures
LlamaIndex
Semantic Kernel
AutoGen
CrewAI
Google ADK
Cloud Native

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