Artificial Intelligence Jobs in Jersey City, NJ

Leads cybersecurity engineering teams developing enterprise security solutions across multiple technology domains. Clarifies security requirements, supports multi-level network security, performs threat modeling and vulnerability assessments, and advises leaders during security risks. Uses and validates enterprise-authorized AI for risk analysis, documentation, security testing, and control validation while ensuring data sensitivity, auditability, and resiliency. Coaches, develops, hires, and recognizes engineering talent.

Lead financial planning, forecasting, reporting, business case modeling, and cost optimization for public cloud and AI infrastructure. Partner with technology, finance, planning, and product leaders to improve spending transparency, develop chargeback methodologies, manage financial risks, and support executive decision-making. The role drives cloud financial management transformation and enterprise-wide efficiency initiatives.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

The Embedded Risk Associate strengthens first-line risk management across financial services. Responsibilities include challenging risk assessments and control effectiveness, reviewing incidents and root causes, managing issue remediation, designing and assessing controls, improving GRC data quality, and developing AI-enabled dashboards and automation. The role supports predictive risk identification, regulatory compliance, product enablement, continuous improvement, and a strong risk culture through data-driven analysis and cross-functional partnership.

Build and operate production-grade agentic AI and large language model services for Finance workflows. Responsibilities include developing AWS cloud-native platforms, retrieval and context-engineering capabilities, APIs, front-end integrations, evaluation and observability systems, and scalable event-driven services. The role also involves optimizing performance and cost, implementing secure AI guardrails, troubleshooting distributed systems, and contributing to technical standards, documentation, code reviews, and responsible AI development practices.

Leads architecture for international infrastructure platforms, shaping target-state designs, technical governance, technology evaluations, secure production code, and engineering standards. Provides technical direction across teams, reviews and debugs code, and influences product and operational decisions. Uses enterprise-authorized AI to accelerate architecture analysis, program planning, risk synthesis, governance, and reporting while validating outputs and protecting sensitive data. Requires strong software architecture, development, testing, operational stability, communication, and cross-regional technology experience.

Lead the architecture, development, deployment, and operation of enterprise AI/ML solutions for wholesale payments. Build production systems involving NLP, document AI, OCR, LLMs, RAG, and fine-tuning on AWS. Establish scalable data pipelines, MLOps, model governance, monitoring, and responsible AI practices. Partner with senior stakeholders, define roadmaps and success metrics, improve engineering standards, conduct technical reviews, and mentor engineers.

Leads end-to-end generative and agentic AI initiatives, from research and experimentation through production deployment. Designs foundation-model solutions, evaluation frameworks, semantic modeling standards, and responsible AI controls. Partners with product, engineering, risk, and business stakeholders to define outcomes, optimize reliability and performance, and deliver scalable AI services. Mentors engineers and data scientists while communicating technical recommendations to diverse audiences.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Build and manage InvestCloud’s commercial transfer agent network for the Altic private markets platform. Responsibilities include identifying and prioritizing transfer agent partners, structuring and negotiating pricing and contracts, coordinating with Legal, managing long-term relationships, overseeing renewals and escalations, and coordinating handoffs to Product and Engineering for integration. The role requires US asset management and transfer agency expertise, commercial partnership experience, and use of AI-enabled research tools.

Leads the organization’s analytics strategy, advanced analytics solution development, predictive modeling, machine learning, data governance, and performance measurement. Partners with business leaders to drive data-informed decisions, growth, efficiency, and innovation. Oversees regulatory data practices, recruits and develops analytics talent, establishes KPIs, and fosters a culture of continuous improvement and data-driven decision-making.

Leads integrated internal and external communications for Verizon Business product and marketing initiatives, including AI Connect. Develops launch strategies, media relations, executive communications, narrative frameworks, thought leadership, crisis messaging, and campaign measurement. Advises senior leaders, manages agency partners, and collaborates with product and marketing teams to translate complex technology concepts into compelling B2B stories and strengthen Verizon’s market position.

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Leads the design and delivery of secure, scalable distributed systems and AI-enabled applications. Responsibilities include architectural leadership, Java or Scala development, cloud engineering, CI/CD, infrastructure automation, API integration, retrieval-augmented generation, agentic workflows, responsible AI adoption, mentoring, and establishing engineering quality and security standards.

Leads the design, experimentation, productionization, and optimization of machine learning, deep learning, generative AI, LLM, and agentic systems. Develops Python-based proofs of concept and production solutions, evaluates and tunes models, integrates generative AI into ML platforms, improves system performance, and partners with product and engineering teams. Acts as an ML subject matter expert while mentoring practitioners and influencing product and technical decisions.

Leads technical program delivery for AI, machine learning, and data platforms. Elicits and validates requirements, designs technical solutions, analyzes data, improves processes, identifies automation opportunities, manages risks and dependencies, and reports project status. Partners with product, business, operations, and engineering stakeholders, mentors analysts, supports UI improvements, and provides strategic guidance on complex initiatives.

Leads global teams developing production AI, GenAI, RAG, agentic workflow, and MLOps solutions for health systems and health plans. Translates clinical, financial, and operational challenges into HIPAA-compliant use cases involving clinical decision support, population health, revenue cycle, research, and optimization. Oversees healthcare data science engagements, model governance, executive stakeholder communications, client delivery, and team development.

Leads strategic advisory and analytics initiatives for banking and capital markets clients. Designs and configures Fenergo solutions, translates business and regulatory requirements, develops data visualization and analytics solutions, and guides teams through complex projects. Builds stakeholder relationships, validates outcomes, promotes process improvement, and coaches diverse teams. Requires at least seven years of experience and a bachelor's degree.

Two-year graduate leadership program focused on payments, analytics, research, strategic initiatives, and cross-functional project execution. The associate develops reporting and recommendations, improves processes, supports presentations, collaborates with business and technology stakeholders, manages multiple projects, advises senior leaders, and helps ensure regulatory, risk, and operational controls. The role is designed to accelerate early-career talent into future leadership opportunities at TD.

Leads application development and systems analysis for financial services technology. Partners with management and technology teams to design enhancements, resolve complex issues, establish coding and testing standards, and ensure architectural alignment. Develops full-stack Java and Oracle solutions, improves system performance, integrates clearing and books-and-records platforms, and supports cloud-native services. Advises developers, manages stakeholders and risk, and applies expertise in exchange-traded derivatives clearing and post-trade processing.

Leads and develops a team of cloud and AI specialists serving strategic state, local government, and education accounts. Drives consultative sales, Azure growth, AI transformation, pipeline development, forecasting, opportunity progression, and customer adoption. Partners with account teams, technical specialists, delivery resources, universities, and academic medical centers to shape cloud and AI solutions and manage complex pursuits from discovery through expansion.

Leads Verisk’s product sales team, owns annual sales targets, coaches executives, establishes sales best practices, supports complex opportunity strategy, develops value propositions and proposals, and builds trusted relationships across customers and internal Product, Sales, and Marketing teams.