Top Artificial Intelligence Jobs

Leads the design, deployment, and maintenance of highly available AWS cloud infrastructure supporting 5G systems. Builds automated recovery, zero-touch provisioning, infrastructure-as-code, container orchestration, and CI/CD workflows. Establishes standards for monitoring, incident response, backups, and performance tuning while mentoring junior engineers. Integrates AI tools for predictive capacity planning, infrastructure monitoring, and automated incident triage.

Leads enterprise supervision talent and development strategy across Home Office and Field teams. Oversees onboarding, training, licensing readiness, quality review, leadership development, and continuous improvement. Builds scalable learning programs, aligns capabilities with regulatory and business needs, uses data and artificial intelligence to improve feedback and quality, and leads a multidisciplinary team while influencing senior stakeholders across the organization.

Leads and mentors a team of 6–10 Corporate Account Executives focused on acquiring mid-market customers. Responsibilities include coaching sales strategies, forecasting, pipeline development, customer engagement, recruiting, training, quota attainment, and cross-functional collaboration. The manager will also use Salesforce reporting, channel sales expertise, and AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Leads and mentors a team of 6–10 Corporate Account Executives focused on mid-market new-logo acquisition. Responsibilities include coaching sales strategy, forecasting, pipeline development, customer engagement, recruiting, onboarding, and performance management. The manager partners with internal teams to improve close rates and must have experience in technology or security sales, Salesforce reporting, channel sales, team leadership, and using AI to improve workflows and business outcomes.

Leads consulting engagements focused on product development and manufacturing transformation. Diagnoses lifecycle bottlenecks, improves cost, quality, speed to market, lean processes, supply chain integration, and digital operations. Manages client workstreams, teams, budgets, deliverables, and risks while coaching junior staff. Develops client recommendations involving product strategy, roadmaps, positioning, and go-to-market planning, and applies analytics, AI, and emerging technologies to improve operational performance.

Leads cybersecurity architecture strategy and solutions across cloud-based applications and technical domains. Analyzes risk, designs controls, evaluates emerging technologies, and drives automation. Develops security analytics dashboards, data models, pipelines, alerts, and executive reporting while ensuring data quality, traceability, resiliency, and auditability. Partners with vendors, technical teams, and senior business leaders to improve cybersecurity outcomes.

Own and develop Cloudflare’s procurement systems ecosystem, including Zip, Ironclad, Oracle Fusion Cloud Procurement, and Coupa migration. Administer environments, access controls, integrations, workflows, APIs, AI features, upgrades, and Tier 3 support. Partner with Procurement, Legal, Finance, Audit, Risk, and Compliance to optimize P2P and CLM processes, maintain SOX controls, enforce segregation of duties, support data governance, and ensure audit readiness and business continuity.

Leads the Operations Strategy enablement roadmap and manages complex, cross-functional initiatives from business-case development through implementation, adoption, and measurable impact. Identifies scalable tools, technologies, automation, and operating practices across operational functions. Partners with Product, Technology, Analytics, Risk, Compliance, and Operations to define requirements, establish governance, manage dependencies, measure results, and provide recommendations to senior leadership.

Leads strategic technical engagement with global and regional partners, combining pre-sales discovery, demonstrations, proof-of-concept leadership, solution architecture, AI adoption, and business development. Advises partner executives on practice growth, go-to-market strategy, scalable offerings, and industry workflows. Translates ServiceNow platform and AI capabilities into differentiated solutions, coordinates specialist teams, supports value-based executive conversations, and drives partner-led customer opportunities. Travel of up to 50% is required.

Advance warehouse automation reliability and performance across AS/RS, packaging, receiving, picking, sortation, and material-flow systems. The role establishes standards, defines control and software behavior, analyzes faults and throughput, improves high-uptime operations, evaluates technical alternatives, and develops AI-enabled troubleshooting tools. Responsibilities also include managing multiple engineering projects, solving complex system issues, and collaborating across hardware, controls, software, process design, analytics, and operations.

Owns full-cycle recruiting for executive Product and Design roles, from intake through offer close. Serves as the primary recruiting relationship manager for senior stakeholders, develops diverse talent pipelines, provides market insights, manages requisition governance, and delivers data-informed hiring updates. The role also improves recruiting workflows, uses AI-enabled tools and analytics, supports inclusive hiring, and manages complex offers and stakeholder expectations. This is an individual contributor position without people-management responsibilities.

Leads complex, cross-functional initiatives from strategy through execution, setting direction, sequencing work, resolving ambiguity, and making tradeoffs. Builds repeatable operating models, improves program management methods, coaches stakeholders, drives AI and automation adoption, and partners with Business Operations leadership on initiative health, reporting, and planning.

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.

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.

Leads technical account management and customer success for a firmwide data and AI platform. Owns customer engagement, onboarding, adoption, retention, delivery plans, governance, technical discovery, escalations, operational readiness, and expansion opportunities. Partners with Product, Engineering, SRE, and operations teams to translate requirements into production-ready solutions, drive cross-functional execution, improve customer health metrics, and establish scalable success practices across complex internal customer organizations.

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 product analytics for small business lending by framing business questions, building and validating datasets, developing KPI and reporting frameworks, conducting statistical and predictive analyses, and translating findings into executive-ready recommendations. Partners with product, lending strategy, risk, finance, technology, and operations stakeholders to improve measurement, automation, data governance, customer understanding, and lending-product performance.

Leads independent oversight of operational, technology, cybersecurity, and AI/ML risks across the firm. Evaluates AI/ML platforms and use cases, performs thematic risk analysis, challenges first-line mitigation strategies, assesses threat exposures and controls, and collaborates with technology and risk stakeholders to support resilient, responsible AI adoption.

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.

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 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.