Artificial Intelligence Jobs in Jersey City, NJ

Leads enterprise information and data architecture strategy across products, applications, and technologies. Establishes governance standards, reusable frameworks, lifecycle controls, and target-state architecture while advising senior leaders and partnering with engineering and business teams. Evaluates emerging technologies, hybrid and multi-cloud models, AI-assisted architecture workflows, and data management solutions. Ensures recommendations meet resiliency, security, auditability, operational stability, and regulatory expectations across a global financial services environment.

Leads consulting engagements focused on customer sales and service strategies, sales operations, customer engagement, and revenue growth. Analyzes client needs, guides teams through strategy implementation, identifies business transformation opportunities, promotes AI-enabled sales processes, manages stakeholder relationships, and coaches high-performing teams.

Leads contract lifecycle management technology projects and client engagements, guiding strategic planning, system configuration, integrations, and AI-enabled contract solutions. Manages teams, coaches staff, develops client recommendations, builds consensus, and drives process optimization and innovation. The role also includes account management, stakeholder communication, governance, and ensuring project quality and client outcomes.

Provides consulting services for contract lifecycle management technology implementations. Analyzes client needs, configures and integrates business applications, develops strategic recommendations, trains clients, and supports software adoption. Guides teams through contract management technology deployments, optimizes processes, applies AI and digital strategies, manages client relationships, and contributes to project delivery and modernization initiatives.

Leads contact center transformation strategy and consulting initiatives, overseeing AI-powered solutions, omnichannel implementations, software development, analytics, UX, and accessibility. The role manages client relationships, business development, stakeholder discovery, strategic decision-making, and multidisciplinary teams while driving innovation, service excellence, operational efficiency, and customer satisfaction. It also mentors teams and sets direction for contact center technology solutions across the PwC Network.

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.

Manages strategic initiatives and projects for the executive office, including leadership meetings, research, data analysis, cross-sector collaboration, progress reporting, and operational improvement. Supports strategic planning, technology adoption, change management, and consistent execution across the firm. Handles confidential information, resolves stakeholder conflicts, and mentors team members while overseeing project planning, budgeting, execution, and completion.

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.

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.

Leads global product strategy and lifecycle management from definition through end of life. Drives product innovation, market research, competitive analysis, commercialization, pricing, and go-to-market planning. Develops roadmaps, aligns cross-functional teams, identifies growth opportunities, and oversees multiple initiatives. The role also promotes AI and agile practices, advances technology, mentors team members, and cultivates collaborative, innovative product environments.

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 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.

Executes outsourced controllership and accounting processes, including client interaction, financial document review, data management, quality control, compliance reviews, contract assessments, and query resolution. The role optimizes business processes, monitors service levels, documents quality metrics, applies analytical thinking and AI-enabled tools, and develops client relationships while supporting team delivery and continuous improvement.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Advise Technology stakeholders on data ownership, governance, risk, and management practices. Lead maturity assessments, strategic roadmaps, operating model improvements, metrics, executive reporting, and capability enhancement initiatives. Partner with senior leaders across Technology, Risk, Controls, and CDAO to improve data quality, metadata, regulatory alignment, and governance effectiveness. Identify opportunities to apply AI, automation, and modern data platforms to scale data management outcomes.

Leads architecture and engineering for consolidating global wide area networks into a unified platform. Defines carrier-scale routing, traffic engineering, resiliency, automation, telemetry, validation, and AI-assisted operational strategies. Oversees transformation plans, migrations, production rollouts, technical standards, risk controls, and reliability improvements while partnering across engineering, infrastructure, cloud, security, operations, and architecture teams.

Supports client assurance engagements involving data analytics, ERP integration, IT controls, business process improvement, and technology solutions. Assists with audit and assurance services, interprets data, develops recommendations, evaluates financial and non-financial information, and helps clients meet regulatory requirements. The role is designed for students or recent graduates developing technical, analytical, and client-service skills.

Leads complex technical programs for payment data and AI platforms, managing project plans, resources, budgets, risks, stakeholders, and delivery timelines. Partners with engineering, product, and business teams to align initiatives with organizational goals. Uses and validates enterprise-authorized AI capabilities for planning, governance, risk synthesis, and reporting while following data sensitivity requirements. Champions agile delivery, continuous improvement, operational excellence, and cross-functional collaboration.

Lead cybersecurity strategy and architecture across products, applications, and technologies. Advise engineering teams, communicate complex risks to leadership, develop reusable security frameworks, create mitigation solutions, and evaluate emerging technologies. The role requires influencing cross-functional teams, shaping enterprise-wide architecture, and applying cloud-native, application, API, web, and mobile security expertise across a complex financial-services environment.

Leads enterprise architecture strategy and governance across infrastructure platforms, products, applications, and technologies. Designs scalable cross-domain solutions, drives cloud-native and hybrid multi-cloud adoption, and establishes reusable frameworks and architecture guardrails. Guides enterprise AI and agentic workflow adoption with human validation, auditability, security, and resiliency controls. Advises leadership, evaluates emerging technologies, and aligns infrastructure and business teams across complex, regulated global environments.

Lead enterprise information architecture strategy across products, applications, and technologies. Establish governance standards, reusable frameworks, lifecycle controls, and AI adoption guardrails. Advise senior leaders, evaluate emerging technologies, guide cloud-native and data architecture decisions, and partner with engineering and business teams to deliver secure, resilient, auditable target-state solutions.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Leads product strategy, vision, discovery, roadmap, backlog, delivery, and performance measurement for an agentic AI platform powering Chase digital self-service products. Partners with technology, analytics, and cross-functional stakeholders to deliver reliable AI capabilities, establish evaluation and quality frameworks, manage production issues, and promote responsible AI adoption in a regulated environment.