Top Artificial Intelligence Jobs

Lead product strategy, roadmap execution, and measurable outcomes for an AI-enabled refinance title decisioning platform. Translate strategy into requirements, user stories, and acceptance criteria; prioritize initiatives against OKRs; and partner with engineering, data science, operations, sales, and marketing. Monitor product health, accuracy, costs, service levels, and performance through metrics and dashboards. Manage stakeholders, customer onboarding, continuous improvement, and automation opportunities across a regulated real estate workflow.

Own the roadmap and delivery of Procore AI Go, a native conversational AI app for construction. Lead the product from beta to wide release, define AI-powered mobile experiences, connect the app to project data, and determine how AI capabilities integrate across Procore products. Partner with UX, Engineering, customers, and stakeholders to understand field workflows, prioritize opportunities, ship polished experiences, and measure product quality and outcomes.

Leads business technology strategy and serves as the liaison between business leadership and IT. Develops technology roadmaps, prioritizes initiatives, improves and automates processes, oversees cross-functional delivery, manages vendors and platforms, tracks value realization, ensures regulatory and data privacy compliance, and drives technology adoption. Supports insurance program and reinsurance operations through scalable platforms, data, and integrations.

An 11-week cybersecurity internship supporting DevSecOps, application security, vulnerability and threat exposure management, cybersecurity risk reporting, security automation, AI-enabled security, and technology asset management. Interns will analyze vulnerabilities and security data, test security tools, research emerging practices, create dashboards and reports, document findings, and communicate risks and remediation recommendations across technical and business teams.

Leads large-scale software engineering projects from requirements through design, development, testing, and delivery. Oversees technical solutions, architecture, code reviews, root cause analysis, reliability improvements, and discovery efforts. Manages and mentors cross-functional and offshore engineering teams while collaborating with business partners on priorities and strategic outcomes. The role supports cloud-native platform development, continuous improvement, innovation, and high-quality software delivery.

Lead business value assessments for enterprise, education, and government customers adopting OpenAI technology. Build ROI, TCO, value models, executive business cases, KPI frameworks, dashboards, and reusable value-selling assets. Partner with Sales, Product, Solutions Architecture, Security, and post-sale teams to identify AI use cases, quantify financial and operational impact, support investment decisions, and influence renewals and expansions.

Lead value assessments for enterprise, education, and government customers adopting OpenAI technology. Build ROI, TCO, and value models; identify high-impact use cases; establish KPIs and dashboards; and create executive-ready business cases. Partner with sales, product, deployment, and post-sale teams to support investment decisions, renewals, and expansion. Develop scalable value frameworks and thought leadership for AI-driven business transformation.

The AI Operations Lead will identify operational bottlenecks, build AI automations and workflows, and drive cross-team collaboration to enhance efficiency and establish internal AI foundations.

Own onboarding, implementation, training, and ongoing success for fintech clients using AI-driven underwriting and decisioning solutions. Manage a book of business, build relationships, lead client meetings, resolve workflow and integration issues, monitor success metrics, identify expansion opportunities, and communicate customer feedback internally. The role requires expertise in financial services, underwriting, credit risk, lending workflows, AI applications, CRM systems, and customer success operations.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.

Data Science Intern supporting AI and analytics initiatives across supply chain, procurement, and logistics. Responsibilities include analyzing datasets, developing machine learning and statistical models, building data pipelines, creating dashboards, supporting GenAI and agentic workflows, developing knowledge graphs, and presenting recommendations to technical and business stakeholders.

Serves as the primary technical advisor for industrial hygiene and safety engineering initiatives. Develops hazard-control strategies, conducts exposure assessments, evaluates robotics and automation risks, supports facility modernization, and delivers onsite surveys and executive reports. Leads risk reduction projects, tracks KPIs, provides coaching and training, and advises stakeholders on regulatory and consensus standards. The role is remote with up to 35% overnight travel across U.S. and international customer locations.

Senior GEOINT Systems Engineer supporting enterprise architecture, systems integration, requirements traceability, engineering analyses, and modernization initiatives across NGA mission systems. Leads architecture gap analyses, trade studies, integrated project teams, project planning, CONOPS development, roadmaps, and transitions to operations. Requires systems engineering lifecycle expertise, experience with complex government or industry systems, and a TS/SCI clearance.

Leads product strategy and development for PayPal Pay Later developer experiences. Owns merchant discovery, evaluation, integration, and launch across APIs, SDKs, third-party platforms, and PSPs. Defines technical roadmaps, requirements, workflows, and customization patterns while balancing customer needs, regulations, profitability, and time to market. Uses research, analytics, competitive analysis, and cross-functional collaboration with technical, design, data, and strategy teams to scale BNPL products.

Leads the North American Reliability Management System for a mission-critical data center portfolio. Owns reliability strategy, governance, standards, controls, maintenance and asset-reliability programs, assurance, risk management, performance measurement, investment priorities, and organizational capability. Directs Directors and senior technical leaders while coordinating with Site Operations, Engineering, Construction, Technology, Procurement, and Finance. Establishes portfolio-wide reliability standards, decision rights, corrective actions, maturity models, and executive reporting to improve availability, maintainability, operational readiness, and systemic risk management.

Manages healthcare informatics and business intelligence initiatives, including data integration, reporting, analytics, governance, migration, testing, and documentation. Coaches teams in statistical and computational analysis, translates stakeholder needs into insights, and supports healthcare quality outcomes. The role also evaluates technologies, collaborates with industry partners, and applies HEDIS and other quality metrics to improve decision-making and healthcare delivery.

A 12-month associate program for graduating seniors, offering placements across commercial, client services, engineering, finance/accounting, and operations. Associates receive orientation, professional training, mentorship, executive exposure, and hands-on project experience. Engineering tracks involve data science, software engineering, and AI; other tracks cover sales, programmatic advertising, measurement, finance, recruiting operations, and workforce reporting.

Lead and coach enterprise reference data engineering teams in adopting and improving Agile practices. Facilitate communication, stakeholder engagement, and continuous improvement; monitor agility metrics; manage operational and transformation plans; and communicate impediments to leadership. Standardize AI-assisted delivery practices, validate AI-generated insights, and promote evidence-based decisions while ensuring data sensitivity and delivery standards.

Leads product strategy, vision, discovery, roadmap, backlog, delivery, and performance measurement for an agentic AI platform powering Chase digital self-service products. Partners with technology, analytics, and cross-functional stakeholders to deliver reliable AI capabilities, establish evaluation and quality frameworks, manage production issues, and promote responsible AI adoption in a regulated environment.

Lead a data science team delivering analytics, machine learning, and AI solutions for wealth management. Partner with product, strategy, and operations stakeholders to frame problems, define success metrics, analyze client and portfolio outcomes, operationalize experimentation, and communicate executive-ready recommendations. Coach data scientists, develop scalable analytical capabilities, and identify high-value AI and agentic use cases that improve decision quality, client outcomes, and operational efficiency.

Leads third-party cyber and technology risk assurance, including strategy, governance, control assessment, remediation, regulatory alignment, reporting, and risk analytics. Partners with control owners, procurement, legal, security, and business stakeholders to strengthen third-party controls and contractual protections. Uses authorized AI to synthesize evidence and support executive reporting while validating outputs for security, auditability, and regulatory compliance. Drives continuous improvement and manages complex cross-functional initiatives.

Leads enterprise cloud platform adoption across business lines by advising engineering teams on architecture, onboarding, migration, governance, networking, and identity. Builds automation and self-service tooling, develops documentation and training, evaluates infrastructure technologies, and translates customer feedback into platform improvements. Applies enterprise-authorized AI responsibly within engineering workflows while validating recommendations for resiliency, security, auditability, and data sensitivity.

Leads enterprise data ownership across Liquidity & Account Solutions, establishing governance frameworks, quality standards, metadata management, lineage, access controls, and risk remediation. Partners with business, technology, architecture, and data teams to improve data discoverability, reuse, interoperability, analytics, and AI readiness. The role also leads governance forums, supports regulatory adherence, and builds high-performing data management teams.

Lead delivery of complex technology programs for Asset & Wealth Management by defining strategy, scoping problems, advising senior stakeholders, managing cross-functional teams, driving roadmaps, and delivering executive-level communications while mentoring junior staff and managing risks and resources.

Leads architecture governance programs across Corporate Data and Analytics Services. Responsibilities include managing Architecture Review Board operations, coordinating compliance and design controls, tracking OKRs, driving engineering standards and AI adoption, managing risks and dependencies, and communicating decisions and status to technology leadership. The role also owns stakeholder coordination, audit readiness, continuous improvement, and AI-assisted program management workflows.