Artificial Intelligence Jobs in Jersey City, NJ

Lead an agile team to design, build, and deliver secure, scalable software. Develop production-quality code, architectures, data models, ETL pipelines, and diagnostics. Analyze large datasets to improve code and systems, troubleshoot complex issues, and contribute to engineering communities and best practices.

Build, test, document, launch, and support AI-powered tools, prompts, skills, agents, automations, and workflows for DC Operations. Partner with field technicians to gather requirements, maintain intake/tracking, evaluate opportunities, facilitate training, provide day-to-day support, track tool usage and impact, and convert field-built solutions into documented, supported assets.

Own an AI portfolio across a business domain, identify and prioritize opportunities, and personally build production agentic solutions end to end. Establish reusable patterns, evaluations, human-in-the-loop controls, and measurable business outcomes. Partner with functional leaders, earn stakeholder trust, guide platform choices, and improve team capability through mentoring, design and code reviews, and interviewing. Build reliable, secure, scalable applications around AI systems across frontend and backend layers.

Build and deploy end-to-end AI solutions embedded within business teams. Identify high-value problems, rapidly prototype agentic applications, integrate AI with business workflows, and measure business impact. Partner with principal engineers and platform teams on architecture, drive stakeholder adoption, communicate across technical and business audiences, and mentor earlier-career builders. The role requires hands-on full-stack prototyping, API integration, production deployment, and ownership from discovery through adoption.

Designs and delivers production agentic AI platforms and large language model services for Finance workflows. Responsibilities include building agents, tool integrations, retrieval and context-engineering systems, secure APIs, and cloud-native AWS services using containers, serverless computing, and event-driven architecture. The role also optimizes performance and cost, establishes evaluation and observability practices, troubleshoots distributed systems, and collaborates on technical standards, documentation, and code quality.

Leads hands-on development of agentic AI solutions on NEO, including agent execution, sandboxing, integrations, memory, retrieval, evaluations, guardrails, and authorization. Builds full-stack TypeScript and Next.js applications, writes secure production code, improves engineering automation, and supports operational stability. Mentors engineers, promotes responsible AI-assisted development, establishes validation standards, and drives adoption of emerging technologies across Software Engineering.

Lead the development and execution of an AI adoption strategy across the Chief Administrative Office. Translate AI tools such as LLM platforms and Microsoft Copilot into practical learning, communications, workshops, and reusable enablement materials. Partner with stakeholders and AI champions, provide leadership updates, establish adoption metrics and governance practices, and use insights to improve engagement, productivity, and employee experience.

Oversee AI risk assessments and governance for AI/ML solutions in client onboarding. Execute data-driven KYC control testing, identify operational and compliance gaps, document audit-ready results, and track remediation. Develop AI-enabled automation, prompt templates, and BAU monitoring solutions using large datasets and analytical tools. Partner with business, controls, operations, risk, and technology stakeholders to improve testing efficiency and proactively identify issues.

Leads development of secure, scalable data and AI platform solutions, including batch and real-time pipelines, ETL/ELT workflows, data modeling, governance, cataloging, lineage, quality frameworks, and semantic layers. Builds Agentic Autonomous Lakehouse capabilities for governed self-service provisioning and operational optimization. Partners with technical and business stakeholders, reviews production code, improves system stability, evaluates architectures and vendors, and promotes emerging technologies across engineering communities.

Lead Microsoft Dynamics 365 CRM implementations, architect solutions, manage project lifecycles and client accounts, mentor teams, ensure quality and post-go-live support, and drive innovation and continuous improvement.

Lead design and delivery of AI-driven P&C insurance operations solutions: analyze client needs, architect and implement AI/software solutions, manage projects and budgets, coach teams, train clients, ensure adoption, and maintain standards, governance, and evaluation practices to drive operational efficiency and innovation.

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 design and deliver multi-cloud AI/ML solutions that ingest and correlate telemetry (metrics, logs, traces), build predictive anomaly detection and forecasting models, automate closed-loop remediation, integrate with ticketing systems, and provide self-service or conversational interfaces to reduce MTTR and ticket volume.

Build and enhance AI/ML platform capabilities spanning model registries, feature registries, governance, data preparation, annotation, lineage, and auditability. Develop cloud-native microservices, APIs, and large language model-powered workflows using retrieval and agent patterns. Improve platform reliability, security, observability, performance, and developer experience while collaborating with engineers, architects, product managers, data scientists, and research partners.

Design, build, and deploy scalable AI and ML solutions by wrangling and integrating data, implementing models (Python/Java, TensorFlow, Scikit-Learn), developing data pipelines and NLP applications, collaborating with clients, and mentoring junior team members to drive business insights and regulatory risk solutions.

Design, build, and deploy AI and machine learning solutions at scale. Develop data pipelines and scalable models, perform data wrangling and analysis, apply NLP and neural networks, collaborate with clients and teams, and contribute to open-source and iterative improvement of AI systems.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Lead and scale MEDHOST’s software engineering organization, overseeing product delivery, modernization, security, reliability, scalability, and operational performance. Develop technology strategy and architecture roadmaps while driving AI-first transformation across products, engineering workflows, and enterprise operations. Establish performance metrics, govern technology investments, manage strategic initiatives, and advise executives on emerging technologies, risks, and opportunities. The role also requires implementing generative AI, machine learning, and AI governance within healthcare software environments.

Lead technology strategy and consultative cloud sales for Verizon, translating business priorities into AI, security, data, modernization, and Azure roadmaps. Advise C-level stakeholders, develop account plans, generate and orchestrate opportunities, support complex negotiations, coordinate Microsoft and partner teams, and govern adoption, consumption, pipeline progression, and value realization. Apply telecommunications expertise to drive customer transformation and act as a trusted technology advisor and customer advocate.

Leads cyber resilience across North and Latin America while owning global cybersecurity products and services. Partners with executives and cross-functional teams to translate cyber risks into business priorities, drive secure digital transformation, implement policies and controls, improve recovery readiness, and measure resilience maturity. The role also develops service roadmaps, accelerates adoption, strengthens IT, OT, cloud, and emerging technology security, and promotes AI-enabled security operating models.

Own the strategy, roadmap, and delivery of AI-powered Capital Management and Lending tools. Lead engineering teams, prototype AI solutions, translate banking requirements into technical designs, and collaborate with senior stakeholders. Applications include capital allocation, RWA optimization, credit underwriting, predictive modeling, document intelligence, covenant monitoring, and stress testing. Ensure solutions meet security, ethical, regulatory, Fair Lending, Basel III/IV, CCAR, and model risk requirements.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

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.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead design and implementation of Microsoft Dynamics 365 ERP solutions, manage large-scale projects, engage senior clients, build and coach high-performing teams, resolve complex challenges, and drive operational excellence and strategic growth for the firm.