Top Artificial Intelligence Software Engineer Jobs in New York City, NY

As a Staff Software Engineer, you'll lead frontend development, ensure quality and scalability of systems, mentor engineers, and drive technical strategy.

The Senior Data Engineer will develop and maintain data platforms on Google Cloud, optimize data pipelines, and support Data Science teams in model training and analytics, collaborating closely across departments.

The Senior Full Stack Software Engineer will design and develop scalable web applications, work across the stack, collaborate with teams, and integrate AI features while mentoring junior developers.

The VP is accountable for strategy, delivery, and performance of corporate functions technology, managing a large application portfolio and leading a team of 100. Responsibilities include stakeholder engagement, technology portfolio management, and driving digital innovation.

The Principal Software Engineer will design automated ad serving systems, lead technical direction, collaborate with teams, and mentor engineers.

Join the Community Open Source Engineering team to develop Vector, enhance community engagement, and manage OSS contributions while optimizing the release process.

As a Senior Full-Stack Software Engineer, you'll build AI-driven web applications in TypeScript, manage technical decisions, collaborate on products, and mentor team members while ensuring high-quality user experiences.

Build full-stack features for the Curator team: observability tools, AI context systems, governance workflows, SQL compilation and semantic model work, and intuitive front-end UX. Work across React, TypeScript, Python, and modern data warehouses to ensure reliable, trustworthy AI-driven answers.

As a Solutions Engineer, you'll assist customers with technical support, integrating the platform, and providing feedback to the product team. You'll engage directly with users to understand their needs, support them in real-time, and create technical documentation for new features.

As an Engineering Specialist, you will design and implement cloud-based data solutions, guide architecture decisions, and mentor teams in data engineering practices, primarily using Databricks and AWS.

The role involves building and scaling core production systems, mentoring junior engineers, and collaborating across functions to align engineering solutions with business objectives.