Lead Phyton and Generative AI Engineer- Vice President

Citi•Mississauga, ON

1d•CA$120,800 - CA$170,800•Onsite

About The Position

We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of Services Tech AI team. The ideal candidate has an excellent track record in high-scale engineering products and specifically AI solutions. In this role, you'll be a key player in driving innovative AI projects throughout the bank.

Requirements

10+ years of experience in the software industry, with a strong emphasis on building enterprise software.
6+ years of relevant experience in developing and implementing scalable and robust Python-based platforms for AI-driven applications and systems using salient Python libraries (e.g., FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, Hugging Face).
5+ years of experience delivering complex Python-based solutions and services (e.g., backend services, APIs) into production.
Demonstrated experience in managing and implementing successful projects of varying sizes and complexities.
Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation.
Experience with cloud architectures, with specific experience in public cloud offerings.
Strong passion and proven hands-on experience integrating with AI/ML technologies, particularly using Python.
Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews.
Ability to quickly learn new technologies, adjust priorities, influence highly skilled engineering teams, and guide technology decisions.
Demonstrated leadership and project management skills.
Excellent communication and documentation skills, with the ability to communicate clearly and concisely, both written and verbal.
Strong analytical, problem-solving skills, and a strategic mindset.

Nice To Haves

Experience in the financial industry is a significant advantage.

Responsibilities

Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure seamless operation, scalability, and integration of AI capabilities across various Citi business units.
Engage with data science, technical, and business stakeholders to define and design overall architecture for key use-cases, specifically focusing on Python-based solutions for our lines of business.
Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions with commercial benefit for Citi, with a strong emphasis on robust Python implementations.
Resolve high-impact technical and business problems, leading projects through in-depth evaluation of complex GenAI business processes, system architecture, and industry standards, providing innovative Python-driven solutions.
Provide expert guidance and advanced knowledge in Python-based programming, ensuring platform design adheres to architectural blueprints and best practices for generative models.
Develop and enforce robust Python coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions, leveraging an advanced understanding of system flow.
Manage multiple concurrent initiatives and projects of varying sizes and complexity, engaging with external vendors and startups for joint initiatives and exploration of new directions, particularly those involving Python-based technologies.
Cultivate a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi to achieve strategic goals.
Serve as an advisor and coach to mid-level developers and analysts specializing in Python and GenAI technologies, fostering skill development and effective work allocation.
Collaborate with Citi's Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling for Python-based GenAI systems.