Top Artificial Intelligence Jobs

The Director, AI Solutions Architect leads the development of scalable AI solutions, ensuring quality and compliance while collaborating with cross-functional teams.

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 role involves leading technical expertise in control systems and safety devices, ensuring compliance, developing standards, and training staff, with a focus on innovation and customer needs.

Lead AI strategy and data-driven transformation for Enterprise Risk Management. Build and manage AI Strategy and Data & Analytics teams to identify, prototype, and deploy ML/LLM-based automations, measure impact, and drive adoption. Create multi-year roadmaps, secure executive alignment, partner with product and tech to deliver internal AI tools, and upskill risk teams to use and validate AI outputs.

Lead product strategy and execution for AI-enabled equipment and vendor finance originations products. Advise leadership, define vision and roadmaps, prioritize backlogs, partner with cross-functional teams, ensure compliance and scalability, set KPIs, and drive long-term modernization while balancing near-term delivery through data-driven decision making.

Lead strategy and delivery of AI-enabled, client-facing equipment and vendor finance products. Define product vision, prioritize roadmaps, partner with technology, sales, risk, and operations, drive data-driven KPIs, oversee complex modernization efforts, and advise senior leadership while ensuring compliance and scalable execution.

Lead strategy, roadmap, and delivery of AI-enabled equipment and vendor finance products. Advise leadership, define scope and KPIs, prioritize backlog, partner with technology, sales, risk and operations, and drive large-scale, compliant modernization and customer-focused solutions across cross-functional teams.

Own named strategic accounts and territory plans to drive expansion and customer success. Build C-level relationships, identify upsell/cross-sell opportunities, lead complex negotiations, and collaborate with channel partners and internal teams. Provide forecasts, conduct market research, mentor junior sellers, and travel as needed to meet clients and attend events.

The Senior Compliance Analyst will ensure regulatory compliance, investigate inquiries, guide teams on compliance issues, and maintain procedural integrity, leveraging AI for efficiency.

Lead and manage a Medical Science Liaison (MSL) team to execute medical plans, engage KOLs and healthcare stakeholders, disseminate scientific data, collaborate cross-functionally for product initiatives, ensure regulatory compliance, monitor scientific trends, and represent the company at scientific events. Requires deep oncology and molecular biology expertise.

The Senior Lead Commercial Banking Relationship Manager drives client acquisition and growth strategies for the Healthcare, Higher Education, and Not-for-Profit sectors, leading a high-performing sales team and implementing effective sales strategies.

The Principal Model Based Systems Engineer leads MBSE implementation, providing training, guidance, and collaboration in developing innovative engineering solutions. Responsible for driving Agile-MBSE best practices and technical leadership, while enhancing the transition to a Digital Enterprise.

The Senior ILM Consultant provides guidance on information lifecycle management, ensures compliance with policies, advises on risks and technologies, and develops training and communication strategies.

Lead and execute multidisciplinary R&D programs in autonomy, sensor processing, and AI/ML. Plan and manage program scope, schedule, budget, and risk; engage customers and stakeholders; ensure program profitability, timeliness, and technical success while guiding technical teams and overseeing program execution.

Lead engineering teams to build scalable research tools and services, integrate emerging technologies (AI/ML), and improve platform maintainability, scalability, observability, and adoption across stakeholders.

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The Lead Data & AI Security Engineer will integrate security into data-driven and AI solutions, collaborating with technology and business teams to ensure security best practices. Responsibilities include risk guidance, security enablement, collaboration with security officers, oversight of security governance, and continuous improvement of security practices in alignment with regulatory requirements.

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 Manager will oversee Mastercard's global interchange governance, improving operational efficiency, documentation, and customer engagements while aligning with pricing and technology teams.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

Lead product ownership for advisor-facing investment research, model portfolio, and strategy workflows. Define roadmap, manage backlog and releases, coordinate cross-functional teams, resolve data and modeling issues, and advance AI-enabled personalization and automation while ensuring compliance and risk controls.

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.

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

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

Lead and manage analytics projects and teams, provide technical guidance on data science, predictive modeling, and statistical analysis, design and execute quantitative analyses, ensure deliverables and timelines, engage clients, recruit and mentor staff, support business development, and oversee project budgets and quality. Domestic travel required ~20%.