Lead Generative AI Python Engineer - Vice President

Description

The company is hiring a senior Python engineer to lead the design and development of its AI technologies within the Services Tech AI team. You will have a track record of building high-scale engineering products, ideally AI solutions, and will drive AI projects across the bank.

Responsibilities

• Lead the design, build, and upkeep of complex Python-based GenAI platforms, applications, services, and infrastructure so AI capabilities run reliably, scale, and connect across the company's business units.
• Work with data science, technical, and business stakeholders to define the architecture for key use cases, with a focus on Python solutions for the lines of business.
• Bring new GenAI products and process improvements into production, working with internal and external partners to validate and deliver solutions that create commercial value, with strong Python implementations.
• Lead projects that resolve high-impact technical and business problems, evaluating complex GenAI processes, system architecture, and industry standards to propose Python-driven solutions.
• Give expert guidance on Python programming, making sure platform design follows architectural blueprints and best practices for generative models.
• Define and enforce Python coding standards, testing, debugging, and implementation approaches for enterprise-grade solutions, using a deep understanding of system flow.
• Run several concurrent initiatives of varying size and complexity, including joint work with external vendors and startups on new directions, especially Python-based technologies.
• Build a thorough understanding of how business, architecture, and infrastructure fit together in the company's GenAI ecosystem to meet strategic goals.
• Advise and coach mid-level developers and analysts on Python and GenAI, supporting their skill growth and how work is allocated.
• Work with the Risk and Control teams to apply governance, risk management, standardization, and tooling practices to Python-based GenAI systems.

Requirements

• 6+ years in the software industry, with a strong focus on enterprise software.
• 6+ years building scalable, robust Python platforms for AI-driven applications and systems, using libraries such as FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, and Hugging Face.
• 5+ years delivering complex Python solutions and services, such as backend services and APIs, into production.
• Proven experience managing and completing projects of varying size and complexity.
• Solid understanding of Generative AI systems, AIOps, and application monitoring and evaluation.
• Experience with cloud architectures, specifically on public cloud platforms.
• Hands-on experience integrating AI and ML technologies, particularly with Python.
• Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews.
• Ability to learn new technologies quickly, shift priorities, influence highly skilled engineers, and guide technology decisions.
• Proven leadership and project management skills.
• Clear, concise communication, both written and verbal, and strong documentation skills.
• Strong analytical and problem-solving skills with a strategic outlook.
• Experience in the financial industry is a significant advantage.
• A bachelor's degree or equivalent experience is required.

Conditions

Full-time role based in Jersey City, New Jersey, United States.

Primary salary range is $142,320.00 to $213,480.00.

Hiring decisions are made and checked by people, not by automated decision-making.

Posting closes November 30, 2026.

Equal opportunity employer; see the company's EEO policy statement.

Benefits

• Eligible employees may receive discretionary and formulaic incentive and retention awards on top of salary.
• Medical, dental, and vision coverage, a 401(k), life, accident, and disability insurance, and wellness programs.
• Paid vacation, sick leave, and paid holidays.
• Benefit availability varies by jurisdiction, job level, and start date.