Top AI Jobs in NYC, NY

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The role involves leading a cybersecurity team focused on threat detection, hunting, and logging while developing strategies involving AI and ML. Responsibilities include managing detections for threats and handling data security breach reporting.

The Sales Director will build partnerships, manage the sales process, and achieve revenue goals while maintaining client relationships and understanding market trends.

The role involves managing product management for AI/ML capabilities, focusing on customer experience, innovation, and leading cross-functional teams.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

As a Platform Consultant at Yext, you will manage client accounts, implement solutions, and ensure effective communication throughout project lifecycles. You'll work on data modeling, configuration of the Yext platform, and collaborate cross-functionally to exceed client expectations.

The Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

Lead enterprise portfolio strategy and delivery for EPTech Top of House: translate executive vision into roadmaps, automate portfolio processes using AI, manage intake, capacity, governance, risk, and cross-functional alignment, and partner with executives to drive value-driven delivery and OKR reviews.

Lead enterprise account strategy and growth for a top-tier national financial institution. Drive revenue against aggressive targets, deepen executive engagement, align Mastercard capabilities to client priorities (AI, open banking, personalization, platforms), manage cross-functional execution, support pipeline and commercial planning, and act as central coordinator across stakeholders.

The Senior Director/Vice President will oversee pricing strategies, reimbursement operations, patient support, commercial data strategy, and government affairs for digital therapeutics. They will lead brand launches and navigate complex policy environments to ensure product viability.

The Senior Market Development Consultant will drive growth in the Card & Banking sector by executing strategic initiatives, creating content, and supporting sales teams while engaging with clients in a consultative capacity.

The Senior Counsel will support Mastercard's Privacy, AI, and Data Responsibility Team, focusing on compliance with privacy laws and regulations while enabling business innovation.

The Senior Solutions Engineer will engage with enterprise customers to identify business problems, demonstrate Atlassian products, and collaborate with internal teams to ensure customer success.

The role involves drafting and negotiating commercial contracts, advising on product development and regulatory matters, and guiding business leadership on legal risks. You'll collaborate across teams and stay updated on legal developments affecting commercial dealings, privacy, and AI.

The Senior Associate will drive strategic initiatives, support planning and operational processes, and enhance collaboration across various enterprise functions at New York Life.

The Director, Account Management will cultivate enterprise strategy and drive growth by engaging with clients and managing relationships at strategic levels, focusing on innovation, strategy, and collaboration across teams.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

The Senior Accountant will oversee accounting functions, manage month-end closes, perform technical accounting analysis, support audits, and ensure accurate financial reporting.

The Director will lead product innovation for digital assets and stablecoins, focusing on strategy, cross-functional collaboration, and market testing to drive Mastercard’s Core Payments business.

Design and implement IAM strategies to protect sensitive data; manage user identities and access with Azure AD and CyberArk; develop RBAC and access control models; perform vulnerability assessments; apply encryption and governance; produce technical documentation; and collaborate on client-focused cybersecurity solutions while continuously learning.

Lead full‑stack development of AI infrastructure prototypes and production systems. Build backend Python services, integrate front-end apps with APIs, AD and OAuth, deploy serverless cloud solutions (AWS/Azure/GCP), write automated tests and documentation, and collaborate across teams to deliver generative-AI agents using foundation model APIs and agent frameworks.

The role involves designing and building AI-enabled investment management platforms, developing scalable APIs, and collaborating with engineering teams to create AI solutions.

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

As a Director, Data Scientist - Generative AI Systems, you will lead a team to develop AI products using NLP and generative AI technologies, partnering with cross-functional teams. Your role involves leveraging open-source programming and machine learning to convert customer data into actionable insights and enhance customer interactions with financial services.

The Senior AI Operations Engineer will design, deploy, and manage AI infrastructure and workflows, optimizing AI models for IT automation, collaborating with various teams, and mentoring peers on AI operations.