Artificial Intelligence Jobs in Jersey City, NJ

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

Design, implement, and deploy scalable AI/ML systems. Perform data wrangling, preprocessing, and advanced algorithm development. Collaborate with cross-functional teams to integrate AI solutions, analyze complex datasets for business insights, and support client engagements while continuously improving technical skills.

Develop and manage AI governance frameworks and risk-control assessments. Translate technical AI concepts for non-technical stakeholders, analyze regulatory and compliance risks, design governance models and controls, interpret data to inform recommendations, build client relationships, collaborate on solutions, and mentor junior team members.

Support development and implementation of AI governance frameworks, assess governance/risk/controls, gather requirements, document processes, synthesize findings, advise on regulatory compliance, and help design scalable control programs for clients.

Lead finance-focused consulting engagements to design performance management frameworks, KPIs, budgeting, forecasting, and financial modeling. Analyze financial data, build visualization and data-driven insights, manage teams, mentor staff, and drive process optimization and cost‑reduction initiatives to improve client financial performance and decision-making.

The role involves designing and implementing AI and machine learning solutions, transforming data into insights, and supporting client engagements. Responsibilities include model development, data analysis, and enhancing model performance using established technologies.

The consultant will develop solutions to business problems by leveraging AI, conduct market research, and drive strategy through data analytics and communication with clients.

Drive enterprise sales and strategic account plans for life sciences and medtech customers. Build executive relationships, craft multi-year account strategies, coordinate cross-functional teams and partners, identify and close large complex deals, and use industry and competitive insights to drive digital transformation using AI, cloud, data, and security technologies.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Lead the design and implementation of Microsoft Dynamics 365 solutions, mentor team members, manage projects, and enhance client relationships to achieve operational efficiency.

As a Senior Associate, you'll leverage Dynamics 365 applications to craft solutions, analyze complex problems, mentor team members, and manage project tasks tirelessly while strengthening client relationships.

The role involves leveraging Microsoft Dynamics technologies to solve client business issues, managing projects, and delivering solutions in a consulting capacity.

Lead large-scale Microsoft Dynamics 365 CRM projects, provide strategic guidance, innovate processes, and coach teams while engaging senior clients to achieve operational excellence.

As a Manager, you will supervise teams, manage client engagements, and facilitate the implementation of Dynamics 365 ERP Finance. This includes analyzing complex business issues and ensuring adherence to methodologies and standards.

Lead the design and implementation of Microsoft Dynamics ERP solutions, manage large-scale projects, and innovate processes to enhance operational efficiency and client outcomes.

Lead delivery of AI-driven property & casualty insurance operations solutions: analyze client needs, design and implement software and AI architectures, manage projects and teams, coach staff, run training, ensure adoption, and drive process innovation while maintaining governance and standards.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

As an AI Strategy Associate Consultant, you will leverage AI and data analytics to solve client business problems, conduct research, develop custom strategies, and enhance AI solutions while managing projects and client relationships.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

Design and build AI agents, first-party web and mobile apps, and scalable backend services. Integrate LLM frameworks and enterprise systems, implement APIs and microservices, ensure observability and security, and collaborate with Finance, Security, and Engineering stakeholders.

Advise clients on privacy laws and data protection, conduct privacy impact assessments, develop privacy policies and programs, implement compliance measures, collaborate with cybersecurity teams, review legal documents, and build client relationships while upholding professional standards.

The Vice President leads strategy and communications for B2B technology accounts, ensuring excellence in client service, team development, and market influence. They drive growth through integrated communications and thought leadership, while mentoring staff and overseeing high-value accounts in complex technology sectors.