Artificial Intelligence Jobs in Jersey City, NJ

The AI Solutions Executive generates and closes AI pipeline, collaborates with field sales, builds customer relationships, and delivers tailored presentations and proposals.

The AI Solutions Architect engages in technical pre-sales, designing AI architectures, conducting technical discovery sessions, and collaborating on proof-of-concept projects while ensuring smooth transitions to delivery teams.

As an AI Engineer Intern, you'll assist with building AI solutions, testing ML techniques, managing datasets, and contributing to production AI systems while gaining hands-on experience in a collaborative environment.

The AI Engineer Intern will assist in building and testing AI/ML solutions, contribute to production AI systems, and explore agentic AI frameworks, gaining hands-on experience in a dynamic environment.

Lead Identity Engineer responsible for architecting API security and authorization platforms, focusing on protecting data against unauthorized AI access using frameworks like Fine-Grained Authorization.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

Design and implement full-stack applications for GenAI, build developer tooling, collaborate with product teams, and enhance AI agent delivery.

As a Principal Solution Architect, you will help teams design and implement scalable AI solutions, mentor engineers, and drive platform evolution in healthcare, legal, and compliance. Collaboration with product teams is key for designing secure, reliable architectures and demonstrating platform capabilities through prototypes.

Design and implement full-stack applications and AI agents to enable rapid development and deployment of AI solutions in critical industries. Mentor engineers and take ownership of projects while applying secure SDLC practices and collaborating with cross-functional teams.

Design and implement full-stack applications and AI agents for the GenAI platform, ensuring rapid development and deployment across critical industries. Collaborate with teams to deliver secure and reliable cloud-native systems.

Lead the development of frontend solutions using Angular, manage teams, embed AI in workflows, and ensure high-quality scalable products.

The Founding Fullstack Engineer will develop and ship end-to-end product features across frontend and backend, optimize user experience, and integrate AI capabilities while ensuring system performance and scalability in a fast-paced startup environment.

Develop and deploy advanced AI/ML models using Python. Responsibilities include optimizing models, collaborating with teams, and implementing AI frameworks and LLMs.

Lead the development of an intelligent document processing platform using Generative AI, managing a high-performing engineering team, and driving technical innovation.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.

The AI Risk Manager safeguards AI solutions by managing risks, ensuring compliance with regulations, and developing risk mitigation plans, collaborating with stakeholders.

The Principal TRI AI Governance Specialist manages DTCC's AI governance framework, ensuring compliance and risk management while promoting responsible AI use across the organization.

The Senior Software Engineer will lead the development of AI solutions for the life insurance sector, overseeing full stack application design and delivery while guiding junior engineers.

Manage AI-driven projects across EisnerAmper's enterprise platform, leading delivery teams, ensuring project alignment, and translating goals into actionable plans.

The AI Developer will develop enterprise-grade AI agents, drive orchestrations, and optimize workflows by integrating Large Language Models while providing technical leadership and ensuring robust solutions.

The AI Enablement Senior Associate aids in executing Crowe's AI Enablement strategy, coordinating workshops, developing content, and promoting AI tool adoption among business units and clients.

The AI Knowledge Intelligence Foundations Architect designs semantic frameworks for AI systems, ensuring they are responsible and explainable while collaborating with engineering and governance teams.

Lead AI engineering efforts in banking, focusing on AI solutions, team management, data strategy, governance, and driving AI integration in workflows.

The Data Engineer will develop and optimize data pipelines for LLMs, ensuring high-quality healthcare datasets while collaborating with data scientists on model requirements.