Artificial Intelligence Jobs in Jersey City, NJ

Leads complex technology projects and strategic initiatives for Asset & Wealth Management Technology. Responsibilities include analyzing operational and financial data, conducting industry research, developing quantitative and qualitative analyses, coordinating leadership meetings, preparing executive communications, managing stakeholders and risks, and supporting technology strategy execution.

Leads complex, cross-functional technology programs and strategy initiatives across Asset & Wealth Management. Responsibilities include defining technology priorities, analyzing trends and competitors, developing strategic recommendations, managing roadmaps, resources, budgets, risks, and workstreams, and advising senior executives. The role requires strong stakeholder influence, executive communication, consulting expertise, and the ability to align AI, digital transformation, cloud, analytics, and infrastructure initiatives with business objectives.

Leads cybersecurity architecture strategy and solutions across cloud-based applications and technical domains. Analyzes risk, designs controls, evaluates emerging technologies, and drives automation. Develops security analytics dashboards, data models, pipelines, alerts, and executive reporting while ensuring data quality, traceability, resiliency, and auditability. Partners with vendors, technical teams, and senior business leaders to improve cybersecurity outcomes.

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.

Leads third-party cyber and technology risk assurance, including strategy, governance, control assessment, remediation, regulatory alignment, reporting, and risk analytics. Partners with control owners, procurement, legal, security, and business stakeholders to strengthen third-party controls and contractual protections. Uses authorized AI to synthesize evidence and support executive reporting while validating outputs for security, auditability, and regulatory compliance. Drives continuous improvement and manages complex cross-functional initiatives.

Lead delivery of complex technology programs for Asset & Wealth Management by defining strategy, scoping problems, advising senior stakeholders, managing cross-functional teams, driving roadmaps, and delivering executive-level communications while mentoring junior staff and managing risks and resources.

Leads enterprise data ownership across Liquidity & Account Solutions, establishing governance frameworks, quality standards, metadata management, lineage, access controls, and risk remediation. Partners with business, technology, architecture, and data teams to improve data discoverability, reuse, interoperability, analytics, and AI readiness. The role also leads governance forums, supports regulatory adherence, and builds high-performing data management teams.

Leads architecture governance programs across Corporate Data and Analytics Services. Responsibilities include managing Architecture Review Board operations, coordinating compliance and design controls, tracking OKRs, driving engineering standards and AI adoption, managing risks and dependencies, and communicating decisions and status to technology leadership. The role also owns stakeholder coordination, audit readiness, continuous improvement, and AI-assisted program management workflows.

Lead enterprise technology change and communications initiatives, developing strategies, executive messaging, stakeholder engagement, communication programs, governance frameworks, and effectiveness metrics. Partner with senior leaders and cross-functional teams to support transformation initiatives, manage issues and escalations, ensure organizational alignment, and communicate program outcomes. Use authorized AI capabilities to assist with planning, risk synthesis, reporting, and governance while validating outputs and protecting sensitive data.

Defines technical target states and architecture strategies for blockchain products, partnering with engineering teams and stakeholders. Designs, develops, tests, troubleshoots, and reviews secure production software. Evaluates emerging technologies, vendors, and AI-enabled capabilities while ensuring resiliency, auditability, security, and sensitive-data controls. Requires hands-on experience with Ethereum, Solidity, EVM, Solana, smart contracts, token standards, blockchain tooling, and on-chain/off-chain integrations.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Own an AI portfolio within a business domain, identify and prioritize opportunities, and build agentic solutions from prototype through production. Establish reusable patterns, evaluations, traces, and human-in-the-loop controls for increasing autonomy. Partner with business leaders, measure portfolio-level impact, and build production-grade applications across frontend and backend systems. Mentor engineers, review designs and code, influence platform choices, and communicate effectively with operators, engineers, and executives.

Define strategy, vision, roadmaps, and priorities for enterprise unstructured data products supporting analytics and AI. Partner with business, data, technology, risk, and control stakeholders to identify opportunities, build governed reusable data products, lead pilots, secure executive support, measure adoption and value, and ensure privacy, compliance, records management, and governance requirements are met.

Develop AI/ML proofs of concept and deployable models for compliance, conduct, and operational risk analytics. Analyze structured and unstructured data, build scalable data pipelines, formulate quantitative methodologies, and create actionable analytical solutions. Collaborate with data scientists, technology partners, risk professionals, and model validation teams. Document models and quantitative analyses for governance and model risk review, while developing LLM, agentic AI, graph learning, and statistical modeling solutions.

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.

Supports AI-powered product strategy and execution for the Mozart insurance forms platform. Responsibilities include identifying opportunities, translating business needs into requirements, analyzing adoption and usage metrics, developing business cases and documentation, coordinating cross-functional delivery, validating AI outputs, refining prompts, and engaging customers through demonstrations, pilots, and feedback sessions.

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 the transformation of alternative investments by defining, developing, and scaling data, analytics, and intelligence products. Translates business strategy into executable product plans, collaborates with engineering, data, and business teams, and influences senior stakeholders across complex environments. The role focuses on building scalable intelligence capabilities for Fidelity’s alternative investments ecosystem, with preferred experience in fintech, asset management, wealth management, AI-enabled workflows, or venture-building.

Leads Cisco’s Solutions Engineering team supporting enterprise customers in the NYC Metro area. Drives technical sales strategy, customer lifecycle success, account planning, revenue growth, and cross-functional solution development. Builds team capability through coaching, talent development, performance analytics, and succession planning. Acts as a strategic technical advisor on Cisco technologies, AI, digital transformation, competitive positioning, and complex customer engagements.

Lead technical strategy for financial services customers by designing scalable data, AI, streaming, and analytics architectures. Own customer engagements from discovery through production deployment, advise senior technical stakeholders, drive Databricks adoption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and the ability to translate complex architectures into business value.

Analyze complex client problems using statistical modeling, exploratory analysis, data visualization, and machine learning. Develop AI and GenAI solutions, data workflows, pipelines, models, and quality checks that generate actionable business insights. Communate recommendations through documentation and visual storytelling, manage workstreams, collaborate with clients, and mentor junior team members.

Leads complex, cross-organizational technical programs that institutionalize AI product development lifecycle practices and scale agentic engineering. Responsibilities include defining AI governance, reference architectures, evaluation frameworks, guardrails, observability, risk controls, and delivery standards. Partners with engineering, product, data, cybersecurity, compliance, audit, and risk teams to improve AI delivery flow, manage dependencies, advise senior leaders, and measure outcomes across multi-quarter transformation programs.

Lead technical onboarding and enablement for contact center partners, architecting scalable Zendesk, Amazon Connect, and AWS solutions. Provide co-selling support, technical strategy, solution design, demonstrations, proof-of-concepts, training, documentation, governance, and mentorship. Collaborate with partners, sales, engineering, and vendors to drive successful implementations, security compliance, innovation, and adoption of AI, automation, and omnichannel contact center technologies.

Build and scale AI-driven analytics and decision-support products for Finance. Responsibilities include prototyping LLM agents, multi-agent workflows, RAG, forecasting, evaluation harnesses, guardrails, data architectures, semantic layers, observability, and data governance. The role also owns AI and data roadmaps, experimentation frameworks, and business-impact measurement while partnering with Finance, engineering, and platform teams.