Artificial Intelligence Jobs in Newark, NJ

The VP will lead strategic business planning, recommend resource allocations, develop new market initiatives, and oversee business development activities in Capital Markets.

The Staff AI Engineer will develop and maintain backend services, support workflows, optimize performance, troubleshoot production issues, and collaborate on feature development.

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.

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.

Lead end-to-end delivery of enterprise AI initiatives: identify and prioritize high-value use cases, manage pipeline and governance, coordinate cross-functional teams, drive productionalization and scaling, ensure regulatory and responsible-AI controls, and report outcomes and risks to executive leadership.

Lead Prudential's enterprise Responsible AI and Data Quality assurance operations, building a centralized control plane and governance engine. Define intake, risk-tiering, controls, automated evidence capture, monitoring for model performance/fairness and data quality, issue/incident management, KPIs, and tooling integrations. Operate cross-enterprise governance rhythms, run independent DQ assurance, enable scalable ModelOps/DataOps integrations, and provide senior reporting to ensure compliance, audit readiness, and safe AI scale-up across business and technology teams.

Lead enterprise rollout of Data & AI governance and Responsible AI capabilities. Translate governance strategy into operating models, tooling, playbooks, training, and adoption metrics. Implement data catalog, metadata, lineage, stewardship, and data quality tooling. Partner with Legal, Risk, Compliance, and business teams to operationalize controls, drive onboarding, measure effectiveness, and scale communities of practice and enablement.

Lead enterprise oversight for Responsible AI and Data Quality: define governance, controls, KPIs, dashboards, assurance checkpoints, incident remediation, and executive reporting; partner across product, engineering, legal, risk, and compliance to embed scalable guardrails and drive measurable maturity improvements.

The Vice President of Data & AI Platforms at Prudential will lead strategy, governance, and delivery of enterprise data and AI platforms, ensuring operational excellence and collaboration across business functions. Responsibilities include managing MLOps, data engineering, and platform SRE capabilities while fostering a culture of innovation and accountability.

Lead Prudential's data and AI engineering teams, ensuring delivery of trusted AI products and solutions while overseeing transformation initiatives and engineering quality across domains.