Top AI Specialist Jobs in NYC, NY

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.

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.

Lead design and delivery of knowledge graph and semantic-layer AI solutions. Architect ontologies, build graph-based ML and pipelines for LLM applications, collaborate with business and technical stakeholders, justify semantic approaches, and support client engagements and sales.

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 creating scalable AI and ML solutions, collaborating with teams, analyzing data, and deploying models in production environments.

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.

Develop and implement generative AI content guidelines, review AI use cases, assess models for content quality and safety, track policy escalations and trends, collaborate with product, engineering, Legal and stakeholders, and communicate progress and strategy to executives and company-wide audiences.

The Senior Enablement AI Specialist will define and implement AI application strategies to improve seller effectiveness, collaborating with various teams and driving the adoption of AI in sales workflows.

Manage end-to-end AI product lifecycle for assigned business domains: translate stakeholder needs into use cases and requirements, prioritize backlog, coordinate agile delivery, author PRDs and business cases, run UAT and demos, monitor post-deployment performance, and drive continuous improvement and value realization.

The Automation / AI Specialist will design and maintain automated workflows, develop AI agents, integrate APIs, and troubleshoot technical issues in a remote environment.

Design and maintain automated workflows using n8n, develop AI agents and tools, integrate APIs, optimize systems, and troubleshoot issues.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The Specialist Solutions Architect will guide customers in architecting ML & AI applications, provide advanced technical support, and collaborate cross-functionally to enhance Databricks' AI offerings.

The AI Development Specialist enables enterprise development teams by selling coding assistant and AI-native engineering solutions while collaborating with NVIDIA teams to enhance application performance.

Embed with business teams to design and build AI-powered tools, automations, and workflows; coach and enable staff; create reusable solutions, documentation, adoption metrics, and governance; mentor junior members and translate AI developments into practical enterprise applications.

The role involves designing and implementing automation systems, improving workflows, and developing tools for sales support using AI and automation platforms.

Design and build AI- and automation-driven solutions to accelerate Mortgage Cadence Platform configuration using LLMs and workflow automation. Develop integrations with system APIs, partner with implementation teams, create documentation and training, and propose new tools to improve implementation accuracy and scale.

The SAP AI Specialist will integrate AI within SAP systems, optimizing capabilities using SAP Joule and BTP AI services, and developing predictive analytics and automation solutions.

Design, develop, and deliver AI upskilling programs and materials, coach teams and leaders on applying AI, consult with stakeholders to identify learning needs, run pilots, measure impact, and embed AI into workflows and talent strategy across the organization.

Evaluate and improve AI-generated English (US) text for grammar, linguistic accuracy, and cultural appropriateness. Provide rewritten responses, create natural prompts and responses, perform preference ranking and grammaticality checks, and deliver clear constructive feedback while collaborating with global teams to enhance conversational AI datasets.

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