2,398 Results for

AI Jobs in Avenel, NJ

New York City, New York

Prototypes or demos do not measure success in this role; it’s measured by operational leverage: faster workflows, fewer manual processes, lower costs, and teams that can scale far more efficiently because of the systems you deployed.

  • Embed within operational teams across the company, underwriting, claims, premium finance, patient experience, broker operations, sales engineering, and more, and work directly with them to understand how decisions are made, where work slows down, and what can be automated.

Wolters Kluwer N.V. logo

NY
Remote

Strong full‑stack development skills and cloud experience (AWS/Azure/GCP).Expert in at least one, and proficient across the others:AI Agent development and evaluationBackend developmentFrontend developmentCloud services (AWS/Azure/GCP)CI/CD and Infrastructure as CodeSite Reliability Engineering (SRE)Quality engineering / testing strategySecure SDLC and privacy by designProven track record delivering secure, reliable, cloud‑native systems to production. TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, RustAWS (primary), Azure, GCP; Docker, Terraform, GitHub ActionsDocumentDB, DynamoDB, OpenSearch, Azure AI SearchAzure OpenAI, AWS Anthropic, Google GeminiGitHub, Confluence, SlackWhat you'll doDesign and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.

NY
  • $175,000–$250,000 / year

ul>

  • Prototype and validate quantitative workflows end-to-end - from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis - while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Your job is to make it indispensable - by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.

  • NY
    • $185,000–$210,000 / year

    It's about building the systems, governance, and cross-functional processes that ensure our content is structured, discoverable, reusable, and optimized for both humans and LLMs - sitting at the intersection of content strategy, SEO/AEO, marketing operations, product marketing, and analytics. While we've learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work.

    Iselin, NJ
    Remote

    p>Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries.

    EisnerAmper is seeking an AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services.

    New York, NY
    • $166,600–$218,700 / year

    ul>

  • Shape and maintain structured context artifacts-clean, reliable, agent-consumable-so LLMs working in Mercury's systems can reason accurately about our domain.
  • Has hands-on experience building LLM-powered systems-RAG pipelines, agents, eval frameworks-and has shipped at least one of these to production.

  • NY
    • $172,500–$260,100 / year

    li>

    Own agent identity and session design - author and maintain agent context files (identity files, session startup protocols, memory structures, and skill definitions) that govern how agents behave consistently across sessions, users, and evolving workflows.

  • LLM context file design as a craft - knows how to write durable agent context (identity, memory, startup protocols, skill definitions) that holds up across sessions - not one-off prompts, but role-level design.

  • Microsoft Corp logo

    New York, NY
    • $130,900–$277,200 / year

    Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, project management, or business-related roles. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $303,600 per year.

    Wolters Kluwer N.V. logo

    NY
    • $146,900–$262,400 / year

    In addition to creating proof-of-concepts to demonstrate best practices and accelerate adoption, you'll play a key role in driving the evolution of the GenAI platform by identifying gaps, proposing enhancements, and collaborating with platform engineering teams to deliver new capabilities.

    Help product engineering teams design and implement scalable AI solutions that leverage WKs GenAI platform to drive impact in healthcare, legal, tax, and compliance industries.

    NY
    • $172,500–$313,700 / year

    You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. Implement evaluation frameworks for agent behavior using a combination of vendor , open source or in house built tools - covering task success, tool selection accuracy, trajectory evaluation, hallucination rates, latency, and cost.

    New York City, New York

    All legitimate communication comes from brellium.com, or no-reply@ashbyhq.com, and we will never ask for money or sensitive personal information as part of our hiring process. We’ve built AI-powered technology that helps healthcare providers deliver safer, higher-quality care - starting with the first real-time medical review platform built to fix clinical and compliance risks before they impact patients.

    New York City, New York

    You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference.

    Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process..

    NY
    • $200,000–$215,000 / year

    Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ .

    As a Lead Software Engineer on our AI Platform Team, you will drive the design and development of the next generation of agentic, reliable, and scalable GenAI platforms supporting state-of-the-art large language models, evaluation systems, and secure developer tooling.

    Capgemini SE logo

    NY
    • $90,786–$110,762 / year

    li>Architect and implement AI‑powered solutions using Snowflake Cortex including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics, Document AI, and integration with external LLMs (e.g., for fine‑tuning, agents, and multimodal data processing).

    • Lead end‑to‑end data architecture and solution design for Snowflake‑based data platforms including logical/physical data models, ingestion patterns (batch, streaming, Snowpipe), storage layers (raw, curated, consumption/semantic), and consumption patterns for analytics, BI, and AI/ML.

    Microsoft Corp logo

    NY
    • $85,100–$169,800 / year

    Youll collaborate closely with engineering leaders and platform teams to accelerate Dynamics 365, Power Platform, and AI through hands-on engagements like Proof of Concepts (PoC), hackathons, and architecture workshops. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year.

    Capgemini SE logo
    New

    NY
    • $61,087–$104,364 / year

    It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

    Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.

    New York, New York

    This role requires a curious and analytical approach, a sharp intuition for value-oriented agentic workflows, and a strong degree of user empathy to ultimately empower our customers to build better.

    Headquartered in New York, our growing team is a group of AI, product, and engineering experts, who have a track record of creating and executing against complex workflows and infrastructure.

    NJ
    • $150,100–$227,000 / year

    Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise; documenting reference architecture; building reusable tools, assets, and patterns; running live enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements.

  • Partner with customers and account teams to assess business challenges, identify high-impact Agentforce use cases, define solution scope, develop detailed technical designs, and articulate the business value of proposed solutions to foster successful adoption and identify future opportunities.

  • New York City, NY
    • $130,000–$150,000 / year

    As an AI Architect, Finance, you will work directly with enterprise customers to design, deploy, and optimize AI agents across the full AP cycle: invoice inbox, PO and invoice coding, three-way matching, approval workflows, invoice processing, disbursements, payments, and wallet management. Design and Build AP AI Agents: Collaborate with customers to understand their AP and P2P workflows and configure agents that handle invoice intake, GL coding, three-way matching, exception routing, and payment approvals.

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