GenAI Platform Lead: Python & API Architect

Bank of America; Pennington (NJ); Presencial; USD 107 000 - 174 000; Tempo integral

Resumo da oferta

Bank of America is seeking a Feature Lead to drive the development of the GenAI platform. You will provide leadership, technical direction, and oversight to a team delivering complex AI-enabled solutions using Python, FastAPI, and modern microservices practices.

You will partner with cross-functional teams to ensure scalable, reusable solutions, mentor engineers, and guide end-to-end lifecycle activities including architecture, design, coding, testing, and deployment.

Qualificações

• Experience designing multi-tier and microservices platforms.
• High coding proficiency in Python and Unix scripting.
• Relational databases (Oracle, MySQL) and NoSQL databases (MongoDB).
• Frontend languages: HTML/CSS, JavaScript, React.
• Strong communication and problem-solving skills.
• Experience with data analytics/AI solutions (nice to have).

Responsabilidades

• Lead feature delivery for the GenAI platform with scalable solutions.
• Oversee design, coding, testing and deployment activities.
• Mentor junior team members and guide engineering practices.
• Ensure API performance and CI/CD pipelines are in place.
• Collaborate with Product Owner for healthy backlog and clear acceptance criteria.
• Drive end-to-end SDLC automation and standards.

Conhecimentos

Python

Unix scripting

SQL databases

NoSQL databases

Front-end basics

Communication

Problem solving

Formação académica

Bachelor Degree or Equivalent Work Experience

Ferramentas

FastAPI

Containerization

CI/CD

Redis

OpenTelemetry

Descrição da oferta de emprego

Bank of America is seeking a Feature Lead to drive the development of the GenAI platform. You will provide leadership, technical direction, and oversight to a team delivering complex AI-enabled solutions using Python, FastAPI, and modern microservices practices.

You will partner with cross-functional teams to ensure scalable, reusable solutions, mentor engineers, and guide end-to-end lifecycle activities including architecture, design, coding, testing, and deployment.