Top Artificial Intelligence Jobs

Build and lead enablement programs for Customer Success and Implementation teams, including onboarding, product training, continuous learning, playbooks, and AI-enabled workflows. Identify performance gaps, translate product updates into practical training, improve adoption of tools and processes, and establish feedback loops with Product, Support, Customer Education, and Product Marketing. The role supports stronger renewals, expansions, customer outcomes, and operational efficiency in a growing SaaS organization.

Develop and advance Mastercard’s global AI policy positions, narratives, and advocacy strategies. Advise internal executives, business units, government affairs teams, regulators, and standards bodies on AI legislation, regulation, standards, governance, and deployment risks. Translate technical AI concepts and business objectives into policy frameworks, briefs, consultations, and executive materials. Monitor global developments, support thought leadership, engage standards organizations, and coordinate cross-functional responses across legal, regulatory, privacy, cybersecurity, and Services teams.

Develop and advance Mastercard’s global AI policy positions, narratives, and advocacy strategies. Advise internal executives, business units, government affairs teams, regulators, and standards bodies on AI legislation, regulation, governance, standards, and emerging risks. Translate AI business objectives into policy frameworks, produce policy briefs and executive materials, support consultations and thought leadership, and promote consistent, innovation-enabling AI policies across global markets.

Leads AI security engineering initiatives across architecture, vulnerability assessment, red teaming, secure AI development, governance, threat research, and control implementation. Advises engineering, data science, product, and security teams on AI risks, adversarial techniques, model security, cloud security, and compliance. Develops technical guidance, playbooks, assessments, and remediation plans while mentoring engineers and leading proof-of-concept evaluations for emerging AI security technologies.

Leads ServiceNow’s global Communities of Practice function across 3,400+ practitioners. Defines community strategy, governance, metrics, engagement models, AI readiness programming, content amplification, and behavior-change initiatives. Recruits regional community leaders, partners with Product, Engineering, GEO leadership, and ServiceNow University, and presents impact to senior executives. Tracks certification, engagement, business, and sustainability metrics while scaling practitioner expertise, technical enablement, and field feedback across customer-facing teams.

Leads business value services for Moveworks’ public sector customers, partnering with sales and cross-functional teams to drive value selling and contract growth. Conducts discovery workshops, advises executives, develops ROI and TCO models, creates executive-facing value narratives, trains go-to-market teams, and scales value messaging. The role requires strategic consulting, financial modeling, enterprise SaaS sales experience, AI expertise, customer engagement, and willingness to travel up to 40%.

Leads strategic Life Sciences customer accounts through Celonis value realization and AI-driven business transformation. Owns executive relationships, program roadmaps, adoption, customer satisfaction, escalations, and measurable business outcomes. Mobilizes cross-functional teams, develops customer Centers of Excellence, mentors team members, leads advisory boards, represents Celonis at industry events, and advocates for customer needs. Requires extensive transformation, consulting, customer success, change management, SaaS, solution design, and executive engagement experience.

Develop and deploy machine learning models powering real-time bidding, advertising decisions, reporting, and customer predictions. Solve propensity modeling, bidding strategy, A/B testing, CLTV, and churn prediction problems at large scale. Build enterprise-grade data and machine learning platforms, write modular production code, collaborate with engineers, and own projects from concept through implementation.

Provide legal counsel on data, analytics, and AI products for Payments and Commercial/Investment Bank clients. Negotiate client agreements, advise on regulatory and market developments, collaborate with Legal, Risk, and Compliance, and support product launches and market expansion while ensuring compliance and managing multi-jurisdictional legal matters.

Lead strategy and execution for customer identity and demographic updates, balancing security and user experience. Build protections against account takeover, drive data remediation, set governance and metrics, partner across product, tech, fraud, and operations, and manage a team of product managers to deliver measurable improvements.

The Senior Solutions Engineer partners with account teams to solve enterprise customer problems, deliver product expertise, and lead value-based demonstrations to drive sales success.

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 a center of excellence to build performance infrastructure for customer marketing: unify cross-channel data, establish measurement and testing standards, advance marketing operations and AI adoption, enable targeting and personalization, align governance and controls, and build a high-performing team to drive measurable marketing outcomes and continuous optimization.

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

Drive execution and governance of strategic priorities by coordinating stakeholders, tracking initiatives, synthesizing data into executive insights, designing governance frameworks, and ensuring projects meet risk and control standards.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, influence product and architecture decisions, deliver high-quality code, and promote firmwide engineering practices and modern cloud-native technologies.

Provide in-house legal support focusing on commercial contracting, privacy/HIPAA compliance, and emerging AI regulatory issues. Draft, negotiate, and maintain NDAs, MSAs, SOWs, BAAs, and vendor agreements; build templates and playbooks; support corporate governance and compliance; coordinate with outside counsel and conduct legal research to advise business teams.

Lead cross-functional technology programs by building integrated plans, tracking dependencies and risks, running governance forums, managing resources and decisions, producing executive-ready communications, and applying AI-assisted analysis with strong validation and data-handling practices.

Lead technical design, development, and operational stability of AI/ML solutions on cloud. Drive adoption and governance of enterprise-authorized AI-assisted development, set validation standards, automate recurring remediation, evaluate vendors, and lead engineering communities of practice while coaching teams on responsible, secure AI usage.

Lead and contribute to full-stack Java/React development, design secure high-quality production code, drive adoption of AI-assisted engineering, improve automation and operational stability, evaluate vendor architectures, and lead engineering communities of practice while promoting resilient, secure CI/CD practices.

Lead vision, roadmap, and delivery of identity data capabilities (verification, resolution, graph, consent). Partner with engineering, design, and analytics to build scalable, secure data solutions, establish governance and privacy controls, define product metrics, and communicate strategy and risks to senior stakeholders.

Lead transformation of strategic plans into programs and projects across business units. Oversee execution, risk mitigation, and data-driven progress monitoring. Build and lead teams, engage stakeholders, resolve conflicts, and ensure alignment with business strategy.

Deliver consumer risk reporting and analysis to senior management, board, and regulators. Develop dashboards and analytics, manage data governance and controls, automate reporting using AI, and collaborate across businesses to enhance transparency and decision-ready insights.

Lead firmwide technology strategy for Data & AI, build partnerships with cloud and infrastructure vendors and the venture ecosystem, drive innovation adoption, evaluate and scale new technologies, raise internal awareness of Data & AI opportunities, support client-facing business development and strategic investments, and influence senior stakeholders to align partner roadmaps with JPMC objectives.

Lead cybersecurity architecture for cloud-native enterprise solutions: evaluate controls and new technologies, advise stakeholders, provide technical guidance, promote firmwide SDLC practices, and mentor peers to mitigate risk and adopt strategic solutions.