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Top Artificial Intelligence Jobs in NYC, NY
The Senior Associate will work on strategic initiatives within the Digital & Platform Services team, focusing on creating strategic roadmaps, assessing operating models, and developing CEO-level executive communications. Responsibilities include applying design thinking, conducting financial modeling, and performing industry research to support critical projects for J.P. Morgan's Commercial & Investment Bank.
As an AI Product Manager Vice President, you will understand and translate client needs into workflows, manage product delivery, and oversee the go-to-market strategy. Collaborating with data scientists, engineers, and project managers, you will design metrics for measuring product success, approve launches, and collect user feedback for continuous improvement.
As a Technical Account Manager, you will guide Enterprise customers in using Altana's Atlas platform. Your role includes driving onboarding, aiding in product adoption, conducting business reviews, and managing customer relationships to enhance user experience and encourage account expansion.
The AI Transformation Lead will lead AI transformation projects within the Capco Technology Delivery Team, advising executives, identifying AI/ML use cases, collaborating with cross-functional teams, and establishing metrics to measure initiative impacts. This role requires expertise in AI technologies, operational improvements, and stakeholder management in a financial context.
As an AI Product Owner, you will lead the integration of AI into the product suite, identify use cases, develop AI-driven solutions, define product requirements, manage backlogs, and collaborate with cross-functional teams to ensure successful product delivery and market strategies.
The Smart Grid Program Manager will lead utilities projects, driving digitization and grid modernization to assist clients in their energy transition. Responsibilities include managing cross-functional teams, project planning, addressing client challenges, and innovating solutions to enhance client operations while ensuring timely deliverables that meet quality standards.
As a Sr. Manager of Product Management, you will define and deliver product strategies for the Associate Experience team, enhancing user experiences for over 70,000 Capital One employees. This includes collaborating with technology teams, prioritizing product backlogs, and using data to inform product strategies and decisions.
The Senior AI Governance Manager at Dropbox will enhance the AI governance and risk program by developing frameworks and policies that support user trust in AI products. Key responsibilities include strategic leadership, policy enforcement, risk management, and cross-functional collaboration to ensure compliance with ethical and regulatory standards.
Featured Jobs
As an AI Integrations Software Engineer at Vetcove, you will integrate LLM models like those from OpenAI into the existing features of the platform. You will be responsible for developing AI-powered features, evaluating AI models, conducting performance testing, and collaborating with the engineering team to enhance product capabilities.
As an AI Research Intern at J.P. Morgan, you will conduct end-to-end research on AI applications in financial services. Responsibilities include formulating problems, gathering data, building models, conducting experiments, and collaborating on high-impact projects. You will engage with internal teams and academic researchers to advance AI and ML principles.
The AI Operations Specialist will ensure software products meet quality standards by evaluating AI-generated text and conducting various testing types. Responsibilities include identifying bugs, enhancing tooling, developing test plans, and documenting testing activities.
As a Machine Learning Engineer, you will build and integrate AI/ML tools, develop and deploy machine learning models, and maintain their reliability in production. You'll collaborate across teams and provide technical leadership, especially at the VP level, while staying updated on industry trends.
The AI Product Marketing Lead will drive marketing strategies and communications for the Machine Learning Center of Excellence's AI/ML products. Responsibilities include developing branding, executing marketing initiatives, producing effective product positioning content, and collaborating with cross-functional teams to promote products and track performance metrics.
As a Machine Learning Scientist - Speech AI and NLP, you'll develop and implement sophisticated machine learning models for natural language processing and speech analytics, collaborating across teams to deliver impactful software solutions. You'll design scalable data processing pipelines and ensure high-performance model production while driving business optimization through analytical insights.
Lead complex technology projects as a Technical Program Manager in the Corporate and Investment Bank's Chief Data and Analytics Team, ensuring stakeholder alignment and optimized project delivery through strong communication and analytical skills.
The AI Business Manager will support AI initiatives within Asset Management, overseeing compliance, risk assessments, and project management. Responsibilities include working with data scientists, coordinating audits, and collaborating with various stakeholders. The role requires strong communication and problem-solving skills, as well as proficiency in Excel and PowerPoint.
The Applied AI Modeling Lead will develop AI and machine learning products, leveraging NLP to solve complex business problems, analyze data, and deliver actionable insights. They will contribute to product development and mentor junior members.
As an AI Governance Product Manager, you will lead the development and implementation of AI governance frameworks to ensure compliance and ethical use of AI technologies. Collaborate with diverse teams to integrate governance into AI/ML lifecycles while managing risks relating to data privacy and transparency. You'll report to senior leadership on governance and compliance status, staying updated on industry trends and regulations.
As the Applied AI ML Director, you will lead the development of machine learning components, providing expertise in ML techniques, algorithms, and optimization. You will enhance ML workflows and collaborate with teams on innovative projects involving deep learning, NLP, and advanced methodologies.
As an AI Product Director at JPMorgan Chase, you will lead the LLM Governance team to define product strategy, manage AI lifecycle, engage stakeholders, and mentor team members to enhance product quality and drive AI adoption in the firm.
As an AI Product Manager at JPMorgan Chase, you will lead product strategy and development for infrastructure related to AI and analytics. Responsibilities include managing product lifecycles, collaborating with stakeholders, enhancing engineering processes, and supporting integration of SaaS vendors and cloud solutions.
As an AI Product Manager Vice President at JPMorgan Chase, you will drive the adoption of Large Language Models (LLMs) across the firm, defining product strategy and collaborating with various stakeholders to deliver high-quality products. You will lead a team, manage the product lifecycle, and ensure effective governance and operational metrics for LLMs.
As an AI Product Manager - LLMs, you will define product strategy and roadmap for LLM capabilities, engage stakeholders, and oversee the development of high-quality products while ensuring compliance with governance and operational metrics.
As an AI Product Manager - Infrastructure, you will drive the strategic vision and roadmap for AI/ML infrastructure, collaborate with various business stakeholders to collect requirements and ensure high-quality product delivery, mentor team members, and identify opportunities to improve processes and systems.
As a Vice President in the Generative AI domain, you will lead operations and optimization for LLM-based AI products, collaborating across teams to design scalable APIs and integrating cutting-edge AI with extensive data assets. Your role will include bridging AI research and software engineering, while ensuring production architecture efficiency and meeting business objectives.
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