Top Artificial Intelligence Jobs

Own the vision, strategy, roadmap, and execution of Snapchat safety, law enforcement, and regulatory compliance products. Define goals and metrics, identify opportunities through data and user research, collaborate with engineering and cross-functional partners, translate regulatory requirements into product solutions, and drive launches. The role requires strong analytical, communication, prioritization, relationship management, and AI-focused problem-solving skills.

Leads Microsoft's Oil & Gas strategic sales organization, managing 8–10 account and technology directors serving major enterprise customers. Develops industry go-to-market and account strategies, coaches sales teams, builds executive relationships, and orchestrates internal and partner resources. Drives revenue, consumption, pipeline, customer transformation, and people outcomes through cloud, data, security, and AI solutions while ensuring compliance, responsible AI adoption, and customer trust.

Own the Everand consumer mobile app’s vision, strategy, roadmap, and reader experience across iOS and Android. Lead a cross-functional squad, prioritize investments, drive execution, improve retention and engagement, and maintain high app quality. Use reader research, experimentation, analytics, AI, and personalization to guide decisions while partnering across product, engineering, content, marketing, and leadership.

Manage approximately 30 enterprise agency and systems integrator partner relationships. Build strategic partnerships, advise partners on Klaviyo solutions, drive referrals, co-selling, revenue growth, co-marketing, enablement, and product adoption. Serve as a trusted consultant and product expert, present to partner audiences, develop joint business strategies, and collaborate cross-functionally with Sales, Customer Success, Marketing, Product, and Enablement. Travel may be required for partner meetings and events.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Supports JPL’s Financial Strategy, Planning & Analysis Office with financial modeling, forecasting, budgeting, performance analysis, reporting, documentation, data validation, process improvement, and AI-enabled automation initiatives. The intern will analyze financial and operational data, prepare reports and presentations, maintain records, support strategic and operational projects, and collaborate with cross-functional teams. This is a fully onsite, part-time academic internship in Pasadena, California.

Support strategic finance initiatives involving transactions, capital markets, market research, business model evaluation, and finance partnership with Research. Develop financial performance presentations, metrics, resource allocation insights, and growth plans across the P&L, cash flow, and balance sheet. Collaborate with Accounting and Corporate Finance to improve financial reporting and finance operations while communicating complex analyses to leadership.

Serves as the technical point of contact for Mayo Clinic Platform clients using de-identified healthcare data, data science tools, and AI capabilities. Responsibilities include evaluating project requirements, answering technical and data questions, coordinating with research and development teams, onboarding and training users, managing client relationships, collecting success metrics, improving platform programs, and supporting strategic expansion.

Own global accounting operations, month-end close, financial reporting, payroll, payables, receivables, internal controls, tax compliance, audits, and accounting integration for mergers and acquisitions. Lead and develop the accounting team, partner with the CFO and FP&A, and modernize accounting through AI, automation, and scalable process improvements while ensuring U.S. GAAP and regulatory compliance.

Leads AXS's global data organization and enterprise data, analytics, and AI strategy. Oversees data platforms, pipelines, machine learning, MLOps, business intelligence, governance, privacy, and reporting supporting personalization, pricing, fraud prevention, forecasting, and executive decision-making. Builds and scales global teams, manages roadmaps, budgets, vendors, and operational excellence, and partners with executive, product, finance, marketing, and engineering leaders to deliver measurable business impact.

Leads global FP&A operations by developing budgets, forecasts, financial models, performance analyses, dashboards, and executive reports. Partners with operational and cross-functional teams to translate business metrics into financial insights, support strategic initiatives and ROI assessments, improve reporting processes, and ensure compliance with financial policies. The role also digitalizes reporting through Power BI and applies AI analytics features.

Own positioning, messaging, and go-to-market strategy for DTN’s shared data and intelligence platform. Translate technical capabilities such as AI/ML, data assets, APIs, and integrations into customer value propositions. Lead platform launches, develop buyer personas and sales enablement, support cross-sell and expansion, and measure marketing effectiveness through adoption, pipeline contribution, product attach rates, and competitive win rates.

Serve as operating partner to the Missionforce CEO, building the operating model, planning and reporting processes, business cadence, governance, and cross-functional accountability. Lead organizational design, resource planning, financial forecasting, productivity, compliance, large public-sector engagements, and operations-team development. Translate strategy into measurable execution plans while partnering with executives, customers, government stakeholders, and internal functions.

Own end-to-end delivery of a multi-year autonomous manufacturing facility supporting a defense-scale shipbuilding program. Responsibilities include facility setup, robotic application sequencing, production qualification, ongoing operations coordination, NAVSEA compliance, stakeholder management, risk mitigation, milestone reporting, and maintaining program requirements and handoffs. The role requires coordinating engineering teams, external robotics partners, customer leadership, and government stakeholders while traveling to program sites up to 25% of the time.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Provides Six Sigma process improvement expertise across financial and healthcare operations. Supports project scoping, risk identification, resource allocation, facilitation, vendor management, strategic initiatives, data analysis, issue resolution, and project documentation. Presents findings to senior leadership and ensures projects are completed on time and within scope. The role requires project management certification, project execution experience, Six Sigma knowledge, and demonstrated artificial intelligence knowledge.

Design, build, test, deploy, and operate platform features for engineering teams. Develop AI-assisted workflows, distributed systems, observability, automated validation, progressive rollout, and recovery tools. Collaborate with partner teams, gather requirements, troubleshoot production issues, participate in reviews, and support features through their lifecycle, including on-call responsibilities.

Designs, develops, tests, deploys, and maintains Microsoft Power Platform applications, automations, virtual agents, and Power BI reports. Partners with business analysts and stakeholders to identify process improvements, digitize workflows, automate administrative tasks, and analyze data. Documents technical designs, supports governance and best practices, troubleshoots deployed solutions, collaborates on QA, estimates project effort, and mentors colleagues. The role requires onsite work in Kansas City and familiarity with programming, APIs, networks, SFTP, and machine learning concepts.

Leads finance for the Services segment, partnering with operating leaders on P&L performance, pricing, forecasting, planning, contract economics, KPIs, and executive reporting. Supports acquisition diligence, deal modeling, integration, and post-close performance. Builds the Services finance team and standardizes acquired businesses onto company systems while deploying AI and automation to scale finance processes.

Leads analytics and market research for AbbVie’s Hepatitis C franchise, integrating primary research, secondary data, complex datasets, predictive models, and marketplace performance insights. Advises brand, sales, market access, finance, and leadership teams on strategy, targeting, forecasting, promotional investment, and patient journey opportunities. Manages research plans, suppliers, stakeholders, compliance, and insight delivery while communicating recommendations through clear presentations and visualizations.

Serves as a liaison between business and IT teams by eliciting and documenting requirements, troubleshooting technology issues, managing critical incidents, coordinating service restoration, supporting technology implementations, and developing operational playbooks and user documentation. The role also promotes technology adoption, identifies recurring issues and improvement opportunities, and drives corrective actions. Candidates must be based near Columbus, Ohio, work primarily in-office, and travel up to 20%.

Leads financial planning, forecasting, budgeting, business case development, financial reporting, ROIC analysis, and strategic financial modeling. Oversees mid-month forecasting, long-range planning, Strata administration, data security, integrations, and financial reporting tools. Provides technical review, guides coworkers, coordinates projects, supports technology request analysis, and collaborates with senior leaders and cross-functional stakeholders.

Leads the development and deployment of machine learning, AI, and predictive analytics solutions for U.S. Commercial operations. Develops models using patient, provider, claims, EHR, specialty pharmacy, and commercial data to support segmentation, treatment adherence, provider engagement, and commercial strategy. Partners with Commercial, Medical Affairs, Insights, Data Management, and IT teams, communicates findings to leadership, manages vendors, and oversees model governance and continuous improvement.

Leads development, deployment, and optimization of machine learning, AI, and predictive analytics solutions for U.S. Commercial operations. Builds models using claims, EHR, specialty pharmacy, and commercial data to analyze patient populations, provider behavior, treatment patterns, adherence, and engagement. Partners with Commercial, Medical Affairs, and analytics teams to translate insights into business strategies, while managing vendors, supporting model governance, and communicating findings to leadership.