Artificial Intelligence Jobs in Newark, NJ

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

The Executive Director leads AI strategy and process excellence, optimizing business performance through AI adoption and governance while fostering innovation and collaboration across functional teams.

The Associate Director, AI Tech Lead will integrate AI into products by developing prototypes, collaborating with stakeholders, and driving innovation in the healthcare sector.

The Associate AI Solutions Engineer designs and develops AI solutions, manages AI lab environments, supports customer engagements, and collaborates on technology projects across various domains.

The Business Development Manager - AI PC drives sales growth for OEM partners through training, managing sales pipelines, and fostering client relationships. Key responsibilities include product support, data analysis, and representing the brand at events.

The Principal AI Engineer will design and deliver generative AI solutions, optimize AI systems, and lead best practices in quality and safety within a collaborative environment.

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.

Lead the Data AI and BI teams to drive data strategies, optimize AWS solutions, and manage AI/ML lifecycle, ensuring compliance and innovation.

Design, develop, and deploy autonomous AI systems that enhance decision-making and workflows. Collaborate with teams to create scalable AI solutions for compliance and risk management, focusing on AI research and principles.

Design, develop, and maintain full stack applications, integrate AI/ML models, and ensure code quality and performance.

This internship offers hands-on experience in AI & Machine Learning by involving in the design and development of applications, collaborating on projects, and networking across the organization.

Rapidly design and develop proof-of-concept solutions while collaborating with teams to validate technical feasibility and accelerate solution adoption.

You will design and manage CI/CD pipelines, automate processes, ensure system reliability in cloud environments, and collaborate across teams.

As a Senior Data Scientist in Global Finance, you'll develop data science products using Generative AI, collaborate globally, and deliver impactful analytics and automation solutions for business and finance leaders.

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.

Lead the implementation of generative AI services and integrate AI capabilities into enterprise architecture to enhance operational excellence and client growth.

Lead the development and implementation of AI initiatives, focusing on agentic AI systems and automation solutions to optimize business processes. Engage cross-functionally to drive strategic innovation and ensure responsible AI deployment.

Lead the development of AI-powered products using RAG for knowledge retrieval, agentic workflows, and full-stack application integration, ensuring compliance and responsible AI practices.

The R&D AI Scientist will develop AI/ML modules for biocide formulations, collaborating on model requirements, validation, and dashboard deployment while ensuring data readiness.