Entry Level AI Designer Apprenticeship UX WomanEntry Level AI Designer ApprenticeshipNew York City, NY$85,000–$130,000 / yearTell a compelling story about users by showcasing user types, personas, stakeholder maps, journey maps, process maps, service blueprints, ideation matrixes, sketches, wireframes, UX workflows, prototypes and other visual deliverables. Lead discovery research by managing user recruitment, creating research plans, writing interview guides, leading 8-16 discovery interviews, and synthesizing interview insights.
Data Science Manager, AI Products Red VenturesData Science Manager, AI ProductsNew York, NC$230,000–$280,000 / year469777815":"hybridmultilevel"}" data-aria-posinset="13" data-aria-level="1">Solid understanding of the ML/LLM lifecycle and LLMOps/MLOps concepts, including deployment, monitoring, and iteration in production environments—with hands-on experience using tools such as LangSmith, MLflow, or similar platforms. ","469777815":"hybridmultilevel"}" data-aria-posinset="11" data-aria-level="1">Hands-on experience building LLM-based and agentic AI systems, with fluency in orchestration frameworks such as LangChain, LangGraph, Mastra, OpenAI Agents SDK, or similar tools.
Revenue Cycle AI Operations Analyst Hospital for Special SurgeryRevenue Cycle AI Operations AnalystNew York, NY$72,000–$109,500 / yearConduct routine QA and compliance audits on AI-assisted and AI-autonomous outputs across Revenue Cycle workflows (e.g., eligibility/coverage determinations, authorization routing, claim edits, denials workflows, payment/financial assistance interactions, and other AI-mediated decisions). Monitor operational and financial signals to detect drift and emerging compliance risk-explicitly including denial trends, reimbursement impact, and case mix swings (and analogous indicators for non-coding AI such as auth turnaround, inappropriate routing or patient balance errors).
AI Researcher Vatic InvestmentsAI ResearcherNew York, NY$175,000–$250,000 / yearExperience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g.
Generative AI & Machine Learning Engineer Morgan StanleyGenerative AI & Machine Learning EngineerNew York, New YorkThis role is ideal for a technical leader who enjoys solving complex engineering problems, working closely with business and technology partners, and leading the end-to-end delivery of AI-powered products in a fast-paced investment banking environment. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
AI Engagement Engineer - Vice President Morgan StanleyAI Engagement Engineer - Vice PresidentNew York, New YorkOur values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. MSDE is responsible for shaping the SDLC within Morgan Stanley by implementing the tools, systems, and processes used by 25,000+ developers in the Firm for software development and deployment.
SEO & AI Search Content Writer Roth Staffing CompaniesSEO & AI Search Content WriterNew York City, New York$35.48–$55.68 / hourIn addition to driving traditional SEO strategies , this role will focus on advancing GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) initiatives , ensuring content is structured to meet modern search intent and deliver value across emerging search platforms. * SEO and AEO Strategy : Develop content that adheres to traditional SEO principles (e.g., keyword optimization, on-page SEO) and incorporate emerging GEO/AEO strategies to meet search intent and perform effectively on voice search and answer engines.
Full-stack Gen AI Lead Inizio Partners CorpFull-stack Gen AI LeadJersey City, New JerseyWe are seeking a Full-stack Lead Developer with strong expertise in Python, Angular, and Java, along with hands-on experience or exposure to Agentic AI Framework or Generative AI (GenAI) technologies. The ideal candidate will be responsible for designing and developing end-to-end solutions, leading development teams, and integrating GenAI capabilities into scalable applications.
Research Lead, New AI Products & Platforms New York Times CompanyResearch Lead, New AI Products & PlatformsNew York, NY$140,000–$155,000 / yearWork with Audience Insights researchers across News Product, Marketing, Cooking, Wirecutter, The Athletic and Games to identify opportunities to collaborate and avoid duplicative product work. Lead a human-centered design approach for products teams, inspiring colleagues to build innovative product features grounded in user needs to drive NAPP and company goals.
Microsoft Ai & Automation Governance Engineer – Productivity Intelligence (Financial Services), VP Mitsubishi UFJ Financial GroupMicrosoft Ai & Automation Governance Engineer – Productivity Intelligence (Financial Services), VPJersey City, New JerseyWorking in collaboration with Enterprise Security help implement Data Loss Prevention (DLP) policies on two levels: (1) Power Platform DLP policies in the Power Platform Admin Center to govern connector and data source usage, controlling what agents can do — which connectors they may use, which knowledge sources are accessible, and which publishing channels are permitted; and (2) Microsoft Purview DLP policies in the Purview compliance portal to monitor and prevent leakage of sensitive data through Copilot/AI interactions, controlling what data can flow through them. Enterprise-Scale Digital Transformation: Experience guiding an organization through a large-scale platform adoption or transformation initiative (e.g., rolling out Teams, SharePoint, or Power Platform globally with proper governance) Familiarity with organizational change management techniques and champion network models.
Principal Product Manager, Charlotte AI Platform (Hybrid) CrowdStrikePrincipal Product Manager, Charlotte AI Platform (Hybrid)New York, NY$175,000–$250,000 / yearDrive Cross-Functional Delivery: Work closely with multiple internal stakeholders-including engineering, data science, and business units-to deeply understand their use cases and translate them into actionable product features. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
Enterprise Account Executive – AI Security Believe ResourcingEnterprise Account Executive – AI SecurityWashington, New YorkAs demand continues to grow, they're expanding their commercial team and are looking for experienced Enterprise Account Executives who know how to open doors, build trusted relationships and win complex enterprise deals. Our client is at the forefront of helping enterprises embrace AI safely, giving security teams the visibility and control they need to protect their businesses.
Staff Software Engineer, AI Developer Experience AsanaStaff Software Engineer, AI Developer ExperienceNew York City, NY$248,000–$282,000 / yearDesign and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. As part of the AI Developer Productivity team, you'll set technical direction and build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents.
Senior Software Engineer, Data Platform, AI Labs 1000 Epiq Systems, Inc.Senior Software Engineer, Data Platform, AI LabsNew York, NYFull timeOperating with the speed and autonomy of a startup and the resources of a global alternative legal services provider, the team builds intelligent agents, reasoning engines, knowledge systems, and structured workflows for litigation, investigations, compliance, and corporate knowledge work. You will build the data infrastructure beneath Epiq AI Labs’ AI platform, including high-volume document ingestion, distributed and asynchronous processing, and the storage and indexing architecture used by the broader platform.
Software Engineer, AI Platforms and Products New York Times CompanySoftware Engineer, AI Platforms and ProductsNew York, NY$110,000–$130,000 / yearYou will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times. Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business.
Senior Director, Business Development - AI Ecosystem HealthVeritySenior Director, Business Development - AI EcosystemNew York, NYRemote$200,000–$247,000 / yearHealthVerity's Partners vertical develops strategic and commercial relationships with industry-leading consulting, analytics, technology and financial services firms that focus on a wide array of healthcare and life sciences use cases. Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job.
Lead Machine Learning Scientist, New AI Products And Platforms The New York Times CompanyLead Machine Learning Scientist, New AI Products And PlatformsNew York, NY$166,000–$205,000 / year2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems. Basic Qualifications: PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline.
Software Engineer, Developer Platforms And Generative AI The New York Times CompanySoftware Engineer, Developer Platforms And Generative AINew York, NY$110,000–$130,000 / yearThe Developer Platforms organization provides cloud infrastructure and tooling to 100+ teams and 750+ engineers in NYT Product Engineering through an internal developer platform. 1-2 years improving developer experience through workflows, documentation, or internal platforms (for example, building CI/CD improvements, internal tooling, or onboarding guides for other engineers).
Software Engineer, AI Developer Experience AsanaSoftware Engineer, AI Developer ExperienceNew York City, NY$171,000–$190,000 / yearDesign and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based integrations, AI-powered code review systems, or agent skill/tool ecosystems.
Staff Software Engineer, Fullstack - AI Product (Nyc) DataBricksStaff Software Engineer, Fullstack - AI Product (Nyc)New York City, NY$190,900–$253,750 / yearMore than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers.