Top Artificial Intelligence Engineer Jobs in NYC, NY

As an Open Source AI Engineer, you will build evaluation frameworks for LLMs, define metrics, collaborate with the community, and improve AI observability and debugging. You'll educate developers through documentation and engage with the open-source ecosystem.

The Software Architect will design and implement AI solutions, lead development teams, oversee technology selection, ensure coding standards, and drive continuous improvement in AI applications.

As an AI Engineer, you will develop AI/ML solutions for the Discretionary Equity business, improving workflows and insights while collaborating on AI strategies across the firm.

The AI Customer Integration Engineer will integrate tracking software, lead technical discussions, gather requirements, and manage project execution for enterprise-level clients.

Lead development of backend systems for generative AI applications, ensuring scalability, reliability, and integration while overseeing teams and projects.

As a Machine Learning Implementation Engineer, you'll collaborate with customers and team members to implement AI solutions, improve product architecture, and support client success.

Lead the development of AI and ML data products, managing initiatives from conception to deployment, while collaborating cross-functionally and driving innovation.

The AI Engineer will develop and implement generative AI models, deploy LLM applications, and collaborate with teams to enhance AI capabilities.

Lead Software Engineer needed to automate corporate workflows using AI/ML solutions. Responsibilities include architecting workflows, integrating ML models, and managing software development lifecycle.

Design and implement AI-first SaaS products, leading development efforts and advocating for industry best practices. Communicate progress and manage project priorities within a diverse team.

Lead the development of an AI system for data management and processing. Responsibilities include model development, integration, testing, and user training.

The role involves solving real-world problems with ML, defining requirements, designing systems, analyzing data, and producing reports.

The role involves designing and building a large-scale Generative AI platform, ensuring compliance, and collaborating with teams. Requires 10+ years of experience.

The Senior Full Stack Engineer will develop financial tools leveraging Generative AI, ensuring high reliability and performance while collaborating across teams.

The Applied AI Engineer Consultant develops intelligent automation solutions for enterprise clients, collaborates with teams, and ensures sustainable practices in AI implementations.

Lead pre-sales activities by showcasing AI solutions, managing technical evaluations, and collaborating with cross-functional teams to drive customer success.

Lead technical sales efforts, advise on AI strategy, and guide customers through the AI development lifecycle while collaborating with sales and technical teams to deliver solutions.