Artificial Intelligence Jobs in Jersey City, NJ

Lead and deliver production-grade generative AI solutions: manage end-to-end model development, deploy scalable LLM systems, build and mentor AI teams, coordinate cross-functional integration (MLOps, Cloud, Data Mesh), enforce governance and ethical AI, and ensure on-time, on-budget delivery of GenAI capabilities.

Lead and build the AI layer for an AI-native data integration platform: select and manage LLMs, design RAG and agentic architectures, implement transformation generation and validation, integrate AI into workflows, establish monitoring/evaluation, and define responsible AI practices for financial services.

Design and implement the EisnerAI platform architecture, integrate data, governance, AI/agent and application layers, lead development of AI agents, build model evaluation/post-training optimization, and ensure responsible AI and data governance.

The AI Governance Lead will develop and oversee Ascot's AI governance framework, ensuring compliance and ethical use of AI across various business areas, while coordinating with legal and risk departments.

Lead hands-on design and delivery of production-grade AI solutions within a vertical. Architect LLM and agentic systems, cloud and data platforms, run technical deep-dives, advise executives, support pre-sales, and build reusable reference architectures and domain-specific accelerators to scale engagements and practice growth.

Lead MUFG's global AI red team to drive adversarial testing, threat modeling, and technical strategy for AI systems. Provide technical leadership, collaborate with stakeholders, and operate in a hybrid on-site schedule to improve AI security posture across the organization.

Lead end-to-end AI transformation engagements for private equity portfolio companies: run readiness assessments, score AI maturity, design roadmaps with ROI projections, manage delivery pods, execute stakeholder governance, and produce playbooks and repeatable offerings.

Lead executive-facing business origination and account strategy for AI, data, and technology advisory services. Drive prospecting, pursue multi-phase transformation deals, architect solutions, mobilize cross-functional teams, negotiate pricing, and build C-suite relationships to deliver measurable outcomes and scale advisory programs.

The Senior FP&A Analyst manages financial planning and reporting, conducts variance analysis, develops financial models, identifies risks, and leads budgeting processes while collaborating with various departments.

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 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 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.

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 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.