Top AI Specialist Jobs in NYC, NY

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead development of next-generation entity resolution ML solutions using transformers, graph ML, and large-scale data pipelines. Partner with cross-functional teams to design, train, validate, and deploy models on cloud platforms, leverage agentic AI workflows, and translate technical work into business outcomes.

Lead development, validation, and deployment of statistical and AI/ML models for credit and operational risk. Perform stochastic and spread analysis, oversee model documentation and MDLC compliance, collaborate with auditors and regulators, operationalize models with production teams, and share ML/NLP expertise across teams.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

The AI Product Specialist builds and tests AI Agents using Regal's platform, focusing on conversation flows, prompt engineering, quality control, and product feedback, while supporting customer interactions and product development.

The role involves developing cutting-edge machine learning models for entity resolution, utilizing technologies like Python and AWS, across vast datasets.

Lead go-to-market and technical strategy for AI developer tooling, winning early customers and building repeatable playbooks. Translate customer MLOps requirements into product feedback, partner with engineering and Weights & Biases, and enable sales/solutions teams to close deals around experiment tracking, model governance, and LLM observability.

As an AI Product Specialist, you will define strategies for market expansion and revenue growth of AI-powered solutions, integrating technical understanding with market leadership.

Design and run advanced analyses and machine learning/NLP models on large multimodal mental-health datasets. Build preprocessing, feature engineering, validation, and visualization pipelines; write scalable documented code for HPC environments; use version control and containerization; collaborate on project planning and present scientific findings while responsibly handling sensitive data.

Drive AI adoption across IRC operations by identifying, prioritizing, and scaling high-impact AI use cases. Manage an intake-to-scale pipeline, translate workflows into developer-ready artifacts, support pilots, deployment, user acceptance, and sustained use. Lead adoption, training, communications, and capacity building while monitoring outcomes and coordinating cross-functional stakeholders to ensure practical, measurable operational improvements.

Conduct research on machine learning algorithms, implement and validate these algorithms, collaborate in a multidisciplinary team, and publish findings.

Lead evaluation, piloting, and rollout of AI-enabled tools and automated workflows for legal teams. Collaborate with attorneys, practice leaders, and tech partners to design solutions, drive adoption, deliver training, and measure impact to improve legal service delivery and internal operations.

As an AI Product Specialist at Kensho, you will drive market expansion, manage customer engagement, and leverage AI product strategies while collaborating across teams to ensure effective go-to-market execution for AI solutions.

As an AI Operations Specialist, you will evaluate AI model outputs, annotate data, and ensure the quality and effectiveness of Fetch's AI systems, using tools like ChatGPT and Google Sheets.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Research, deploy, and maintain AI models and automation solutions; integrate systems and APIs; manage AWS infrastructure and PostgreSQL databases; build BI dashboards; monitor and optimize AI systems and provide technical support.

Contribute to generative AI model training and evaluation by designing and solving ML infrastructure and systems challenges. Build and optimize distributed training, custom GPU kernels, evaluation frameworks, and provide technical reviews and feedback to improve training data and model capabilities.

Evaluate and improve AI-generated Tagalog text for linguistic accuracy, grammar, and cultural relevance. Provide rewritten responses, craft prompts/responses, perform grammaticality checks and preference ranking, and collaborate with global teams to enhance conversational AI datasets.

Lead sales and deployment of custom AI/ML solutions, driving pipeline and revenue for allocated accounts. Collaborate with Field Sales, Product, Sales Engineering and AI teams to discover requirements, architect agentic AI solutions, write SOWs, negotiate commercial terms, and manage complex sales cycles to ensure customer adoption and measurable business outcomes.

Provide in-person AI coaching and support to employees, deliver micro-trainings and guides, monitor adoption of Copilot/Gemini/Claude, assist with task-level AI integration, collect feedback, and educate staff on responsible AI governance and data privacy.

The AI Deployment Specialist will enhance AI agent utilization for finance teams by solving technical issues, optimizing product experiences, and collaborating closely with clients and engineering teams.

The role involves designing and delivering AI training programs, creating learning materials, and facilitating workshops to enhance user understanding of AI tools within enterprises.

As an AI Product Operator, you'll lead the deployment of AI-driven automations, enable teams, and foster an AI-native culture at Ramp. Responsibilities include mapping processes, optimizing workflows, and coaching internal champions to enhance productivity.

Create, optimize, schedule, and publish blog and social content about AI applications. Test headlines, landing pages, and ads; review analytics, predict opens/clicks/conversions, write performance reports, and personalize curated content.