Artificial Intelligence Jobs in Jersey City, NJ

Design, build, and scale AI-powered operational platforms integrating LLMs, monitoring, CI/CD, ticketing, and cloud services. Develop APIs, data pipelines, front-end apps (TypeScript/React/Next.js), backend systems, evaluation/observability tools, and reusable frameworks. Collaborate across SRE, Product, and Infrastructure to deliver production-grade, automated AI workflows and improve system reliability and performance.

Build production-grade AI features and LLM pipelines (RAG, prompt engineering, context management) for financial-data workflows. Implement agentic workflows with Agno, optimize for accuracy/latency/cost, evaluate output quality, and integrate AI capabilities with backend APIs while maintaining code quality, observability, and testability.

Embed with customers to learn and redesign critical workflows, then build and ship production GenAI/LLM systems on AWS. Own evaluation, deployment, and operational reliability, collaborate with senior stakeholders, and drive measurable business outcomes using Provectus blueprints and agentic tooling.

The AI Solutions Architect specializes in pre-sales technical solutions for AI platforms, collaborating on architectural designs, conducting customer engagements, and ensuring seamless transitions to delivery teams.

The AI Services Consultant develops and positions AI consulting services, collaborates across teams, and manages client engagements to unlock AI potential and drive value through structured proposals and delivery.

The AI Services Consultant scopes and positions AI consulting engagements, collaborates with sales and delivery teams, and develops service proposals to drive AI initiatives and infrastructure investments.

The AI Solutions Executive drives AI sales by generating opportunity pipelines, implementing effective sales strategies, and collaborating with field teams to close various AI solutions.

The AI Solutions Executive generates and closes AI pipeline, collaborates with field sales, builds customer relationships, and delivers tailored presentations and proposals.

As an AI Engineer Intern, you'll assist with building AI solutions, testing ML techniques, managing datasets, and contributing to production AI systems while gaining hands-on experience in a collaborative environment.

The AI Engineer Intern will assist in building and testing AI/ML solutions, contribute to production AI systems, and explore agentic AI frameworks, gaining hands-on experience in a dynamic environment.

Lead the design and optimization of batch and streaming data pipelines, ensuring high-quality data delivery for AI and analytics, while mentoring and promoting engineering best practices.

Embed with customers to learn and rebuild critical business functions, then design and ship production GenAI/LLM systems on AWS. Own delivery end-to-end: operator immersion, design, implementation, evaluation, and stakeholder alignment while remaining hands-on in code and cloud-native ops.

Lead and manage 2-3 AI POD teams as a player-coach to drive pipeline, forecast accuracy, revenue, and margin. Run structured GTM cadence, enforce pipeline/CRM governance, engage in strategic executive customer pursuits, coordinate shared and OEM resources, integrate PODs with regional sales, and hire and develop high-performing AI sales specialists.

Quota-carrying sales role generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners to build pipeline, craft executive pitch decks, sell product/infrastructure and consulting services, and maintain CRM, forecasting, and GTM operational discipline.

Drive consulting pre-sales for regional AI PODs by scoping, packaging, and positioning AI services (data readiness, governance, AI Factory, workforce AI, coding assistant pilots). Collaborate with sales, architects, and delivery to develop proposals, ensure clean handoffs, justify infrastructure, design lab/PoC engagements, and build repeatable service frameworks to accelerate customer adoption and downstream consumption.

Technical pre-sales AI architect responsible for designing end-to-end enterprise AI architectures, whiteboarding GPU cluster and MLOps solutions, coordinating ATC proof-of-concepts, aligning with NVIDIA and hyperscaler partners, producing BOMs/sizing/POC plans, and enabling clean handoffs to delivery teams while supporting revenue-generation and co-selling activities.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA-accelerated application services. Engage enterprise development leadership to design pilots, benchmark developer productivity, scope consulting engagements, and translate developer tools into business outcomes while collaborating within regional PODs and with NVIDIA technical teams.

Sell, scope, and package enterprise AI consulting services across workforce AI, AI Foundations, and AI Factory use cases. Develop proposals, run discovery workshops and assessments, justify infrastructure investments, design lab/PoC engagements, and ensure clean handoffs to delivery while collaborating with sales, architecture, and delivery teams to grow services pipeline and consumption.

Quota-carrying sales role generating, qualifying, and closing enterprise AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners, craft executive pitch decks, drive product/infrastructure and consulting services sales, manage CRM and forecasting, and deliver multi-phase AI engagements.

Technical pre-sales AI architect responsible for designing end-to-end AI/ML architectures, leading discovery and POC lab engagements, co-selling with sales and partners, producing reference architectures, BOMs, sizing models, and ensuring clean handoff to delivery teams. Operates in a revenue-generating, customer-facing pre-sales role and collaborates with NVIDIA, hyperscalers, and infrastructure partners.