Top Artificial Intelligence Jobs

Designs and deploys AI-powered quality engineering solutions and automated testing frameworks. Builds and executes functional, integration, regression, and performance test suites; validates data with SQL; analyzes defects and performs root-cause analysis. Collaborates with software engineering, product, and architecture teams to improve application reliability and testing workflows. The role requires experience with automation, AI-driven testing tools, relational databases, and Agile/Scrum development.

Leads Liberty Mutual’s People, Purpose and Brand technology strategy, modernization, investment portfolio, and 125-person organization. Oversees HCM platforms, employee experience, data, AI, architecture, security, integrations, vendors, and resilient operations. Partners with executives to prioritize investments, drive multi-year transformation, improve outcomes, and modernize engineering practices. Builds high-performing, inclusive teams and manages financial, operational, talent, vendor, and change leadership responsibilities across a complex regulated environment.

Design, build, test, and launch reliable, scalable business insurance products and AI-powered customer experiences. Partner with product, design, and cross-functional teams to iterate using feedback and metrics. Lead multi-quarter projects from scoping through delivery, communicate technical tradeoffs, and mentor engineers through pairing, code review, and knowledge sharing.

Ten-week quantitative analytics internship applying statistical modeling, machine learning, artificial intelligence, and data analysis to financial risk challenges. Interns may forecast credit portfolio losses and revenue, develop credit scorecards, detect money laundering, predict operational losses, and validate quantitative models. The program includes mentorship, technical training, leadership exposure, and professional development in a collaborative environment.

Participate in a 12-month quantitative analytics development program with two rotations. Develop, evaluate, validate, and deploy statistical, machine learning, and AI models supporting credit risk, financial crime, operational risk, customer experience, and business decisioning. Analyze large datasets, build scalable solutions, collaborate with quantitative professionals and senior leaders, and translate analytical findings into actionable business insights.

Own the end-to-end integration and automation architecture for the MyCDW platform. Design ServiceNow integrations, APIs, event-driven patterns, middleware, data contracts, AI-agent guardrails, automated workflows, and observability. Establish governance, security, coding standards, testing, documentation, and reusable architecture patterns. Evaluate platforms, lead prototypes, resolve complex issues, manage vendors, influence stakeholders, and align solutions with business strategy, compliance requirements, scalability, resilience, and cost objectives.

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 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 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 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.