Artificial Intelligence Jobs in Jersey City, NJ

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

The Solution Director will lead Data & AI business growth, engage with clients, oversee solution delivery, and drive revenue targets. They will shape solutions, mentor teams, and collaborate with partners.

The role involves expertise in Adobe video tools, exploring generative AI, collaborating on storytelling, and producing demo content, while remaining updated on industry advancements.

The AI Solution Architect at EisnerAmper leads the design and implementation of AI solutions, working with clients to develop tailored strategies for various industries. They ensure integration of AI systems and adhere to responsible AI practices.

Lead the development of a data-first marketing strategy leveraging AI, optimize media, align marketing objectives, and enhance effectiveness through digitization and analytics.

Lead development of a data-first marketing strategy utilizing AI for consumer insights. Collaborate with global teams to enhance marketing effectiveness and drive digital transformation in CPG.

The Full-Stack AI Product Developer will manage projects from research to deployment, focusing on building AI-driven tools and enhancing user engagement within a healthcare context.

Develop and maintain scalable APIs and Kubernetes environments for AI solutions, collaborating with teams to ensure robust and secure deployments.

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 / Machine Learning Engineer will design, build, and deploy ML models for image classification, fraud detection, and data pipelines, while collaborating with product and engineering teams.

Lead the architecture and design of AI systems, integrate and fine-tune models, manage multi-agent frameworks, and collaborate with teams for deployment and observability.

The Embodied AI Researcher will conduct research on robotic foundation models and embodied intelligence, collaborating with cross-functional teams and integrating robotics products.

Lead the design and development of agentic AI applications, mentors engineers, collaborates with cross-functional teams, and optimizes performance across distributed systems.

Develop and deploy scalable AI solutions, mentor engineers, manage CI/CD practices, and collaborate with teams on AI initiatives at Bank of America.

The Software Engineer III role involves designing and developing AI tools, mentoring teammates, and ensuring software meets compliance and integration needs while leveraging generative AI techniques.

This role involves designing and building AI inferencing capabilities, leading engineering approaches, and collaborating with teams on complex AI solutions.

The Software Engineer III focuses on developing Gen AI platform capabilities, designing reusable toolkits, and ensuring software meets functional and compliance requirements while collaborating with cross-functional teams.

Develop and deliver AI and Gen AI solutions, mentor other engineers, automate processes, and ensure compliance in an agile environment.

Lead AI and automation initiatives to enhance customer engagement and operational efficiency. Collaborate with cross-functional teams to implement digital assistants and streamline workflows.

The AI-Enabled Global Study Data Leader will drive digital transformation in clinical data management, lead cross-functional teams, and implement innovative data solutions to improve efficiency and compliance in clinical studies.

Lead cross-functional teams to drive AI-enabled global clinical studies, improve processes, and ensure compliance while promoting innovation in trial methodologies.

Oversee AI-driven project initiatives, manage Agile delivery teams, and ensure project alignment across stakeholders. Coordinate technical execution and manage project health reporting.

The Director of the AI Center of Excellence will lead strategic AI initiatives, oversee project delivery, drive innovation, ensure ethical practices, and mentor the AI team.

The AI Product Transformation Manager will develop AI product strategies, manage stakeholder communication, oversee product delivery, and collaborate across teams to enhance AI capabilities for business efficiency.

The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.