Artificial Intelligence Jobs in Jersey City, NJ

Lead the development and operational excellence of AI-powered applications and marketing technologies for Wealth Management, focusing on strategy, architecture, and advisor-facing innovations.

The role involves developing generative AI models, integrating AI systems, maintaining software infrastructure, and conducting research on new AI techniques.

The intern will support research, partner coordination, project tracking, and communication in AI-related product development and partnerships.

The Senior Applied AI Engineer will drive AI innovation, design pilots, enhance AI patterns, develop architectures in AWS, and communicate results effectively.

The role involves sourcing and qualifying new business opportunities, managing client pipelines, and engaging with prospects while traveling for meetings.

The Senior AI Technical Lead drives AI initiatives across the Tokio Marine global enterprise, translating business needs into production-ready AI solutions and ensuring compliance, scalability, and integration.

The AI Consultant will develop and execute Responsible AI policies, collaborate with stakeholders, and manage strategic AI initiatives to enhance Highmark's ethical AI practices.

As an AI Product Manager, you will define the strategy and execution for AI solutions, manage product lifecycle, ensure AI safety and reliability, and drive product excellence while collaborating across teams.

The AI Engineer will develop agentic AI systems for production environments, collaborating with production teams to optimize reliability and costs, while addressing runtime challenges and building machine learning operations.

The Solution Architect will design and develop AI-powered web applications, lead cross-functional teams, and implement scalable technical solutions combining cloud-native technologies and LLMs.

The Technical Account Executive will bridge data engineering and executive decision-making, leading AI projects and aligning technical delivery with business strategy through requirements gathering and stakeholder engagement.

Responsible for leading PRM modernization strategy and AI transformation initiatives, overseeing partner systems innovation lifecycle while collaborating across teams to enhance partner experiences and operational excellence.

The Senior Solution Owner will lead product strategy and execution for AI and data solutions, overseeing product lifecycles and data migration initiatives, and ensuring effective cross-functional collaboration.

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.

The VP of AI Software Engineering will lead AI-driven technologies for software quality improvement and platform reliability, oversee AI solutions design and delivery, mentor engineering teams, establish governance, and collaborate with stakeholders to integrate AI solutions in software development processes.

The role involves enabling enterprise-wide adoption of Microsoft AI and Automation tools, developing scalable platforms, and ensuring compliance with regulations. Responsibilities include platform strategy, architecture, agent development, and governance in a highly regulated financial environment.

The role involves developing governance frameworks for Microsoft Copilot and Power Platform, ensuring security and compliance, and training citizen developers while monitoring operational governance across multiple regions.

Lead the delivery of enterprise data solutions on the Databricks Lakehouse platform, coordinating teams and ensuring high-quality data pipelines and analytics solutions.

The Associate Full Stack AI Engineer will support the development of AI applications using Palantir Foundry and AIP, implementing user interfaces, collaborating with teams, and ensuring data governance practices are met.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

The AI Development Lead oversees application systems analysis, programming, integrates functions, consults on system design, and leads project implementation with a focus on advanced technologies in AI development.

The Head of AI Garage will lead AI initiatives, develop scalable GenAI solutions, and establish data readiness in Wealth & Investment Management. Responsibilities include designing knowledge graphs, delivering AI applications, and leading cross-functional teams to achieve measurable business outcomes.

Lead AI and data transformation initiatives, develop AI strategies, deliver AI/ML solutions, mentor teams, and drive innovation for enterprise clients.

The Tech Lead will design and develop Python-based backend services for NLP and chatbots, support cloud-native technology transformation, and collaborate with stakeholders.