Lead Generative AI Python Engineer - Vice President

Citigroup; Jersey City (NJ); On-site; USD 142,000 - 213,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Performance incentives

Job summary

Citi is hiring for a senior role in Jersey City, NJ, focused on designing, building, and maintaining complex Python GenAI platforms and services. You will partner with data science, technical, and business teams to define architecture for critical GenAI use-cases and drive deployment with strong Python implementations.

Ideal candidates have extensive Python expertise, cloud experience, and a track record delivering enterprise-grade GenAI systems.

Qualifications

• 6+ years of experience in the software industry.
• 6+ years of experience building enterprise software.
• 5+ years delivering complex Python-based solutions into production.
• Experience with Generative AI systems and cloud architectures.
• Strong communication and leadership skills.
• Experience with agile development, CI/CD, testing, and code reviews.

Responsibilities

• Lead design, development, and maintenance of Python GenAI platforms and services.
• Engage with stakeholders to define architecture for key use-cases.
• Drive deployment of GenAI products and process improvements.
• Resolve high-impact technical and business problems with Python-driven solutions.
• Provide expert guidance in Python and GenAI best practices.
• Coach mid-level developers and analysts in Python/GenAI.

Skills

Python

GenAI

Software architecture

Cloud architectures

CI/CD

Leadership

Communication

Problem solving

Education

Bachelor's degree

Tools

FastAPI

Flask

Django

Pandas

NumPy

Prefect

Scikit-learn

Hugging Face

Job description

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.

Skills & Qualifications

• 6+ 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 robuest 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.
• Experience in the financial industry is a significant advantage.

Education

• Bachelor's degree/University degree or equivalent experience is required.

Job Details

• Job Family Group: Technology
• Job Family: Applications Development
• Time Type: Full time
• Primary Location: Jersey City New Jersey United States
• Primary Location Full Time Salary Range: $142,320.00 - $213,480.00

Benefits

• In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
• Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
• Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.