Top Artificial Intelligence Jobs

Leads strategic HR partnership for Capital One’s Applied AI and technology organizations. Responsibilities include organizational design, talent and workforce planning, succession planning, recruiting and retention strategy, executive coaching, job architecture, human capital risk mitigation, and scaling an AI organization from 800 to 1,200 employees. The role partners with senior leaders and HR functions to develop talent strategies, manage scarce AI/ML talent, support enterprise HR initiatives, and drive organizational effectiveness.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline development, major deal execution, hiring, coaching, and cross-functional collaboration. The role requires building repeatable enterprise sales motions, improving multi-product attachment, mentoring sellers, and maintaining strong executive relationships. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline coverage, strategic deals, hiring, coaching, and team development. The role requires direct involvement in major enterprise sales opportunities, cross-functional collaboration, executive engagement, and adoption of MEDDPICC, Salesforce, Gong, Clari, and AI-enabled workflows. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Leads complex technology projects and programs from planning through delivery. Responsibilities include defining scope, allocating resources, managing timelines and risks, coordinating software development, QA, and business stakeholders, monitoring progress, communicating status, and ensuring governance. The role also uses enterprise-authorized AI to accelerate planning and reporting while validating outputs and protecting sensitive data.

Manages state and local government affairs by monitoring legislation, coordinating advocacy strategies, working with lobbyists and stakeholders, building policymaker relationships, drafting policy materials, preparing testimony, and representing Ibotta in hearings and policy forums. The role also assesses policy impacts on the business, supports cross-functional teams, manages multiple jurisdictions, and helps develop government affairs processes and infrastructure.

Lead complex, cross-functional technology programs for the Cards business. Develop strategic plans, manage resources, budgets, timelines, dependencies, risks, and roadblocks, and align stakeholders across the firm. Use enterprise-authorized AI tools to support planning, risk analysis, governance, and executive reporting while validating outputs and protecting sensitive data. Drive continuous improvement, process optimization, change management, and technology adoption across global operations.

Leads complex cross-functional projects and strategic initiatives for HR Data and Analytics. Responsibilities include program governance, budgeting, risk management, executive reporting, process automation, KPI tracking, strategic planning, leadership support, and team management. The role partners with senior leaders to improve operational efficiency, align initiatives with business strategy, and implement data-driven solutions across the organization.

Leads global capital budgeting, capacity planning, space planning, forecasting, and optimization for technology development. Partners with engineering, finance, procurement, manufacturing, and operations teams to develop budgets, analyze scenarios, manage resources, and support data-informed decisions. Coordinates complex cross-functional projects, tracks milestones, improves workflows, and applies industrial engineering, statistical analysis, data analytics, SQL, Python, and AI-enabled tools to enhance planning and operational outcomes.

Lead Ericsson’s enterprise AI strategy and portfolio across HR, Finance, Sourcing, Customer Support, Marketing, Product Development, Network, and Cloud. Translate business challenges into AI roadmaps, solution architectures, investment cases, and measurable outcomes. Oversee initiatives from opportunity identification through delivery, adoption, and value realization. Prioritize data and AI investments, model ROI and TCO, evaluate vendors and platforms, and advise senior stakeholders on scalable, secure, governed, and commercially viable solutions.

Advises pharmaceutical and life sciences clients on R&D operations, clinical trial design, organizational design, process optimization, regulatory compliance, analytics, and portfolio management. Develops actionable strategies, executive presentations, and decision-support insights while coordinating projects and client workshops. Guides junior team members, supports change management, and helps clients improve R&D productivity, operational effectiveness, growth, and innovation across the drug development lifecycle.

Leads strategy, roadmap, transformation, and value realization for a financial planning product serving agents, advisors, and clients. Defines financial engineering models, AI-enabled features, product requirements, metrics, and compliance controls. Partners with Technology, Data, AI, Actuarial, Distribution, Legal, and Compliance teams, manages fintech partnerships, drives agile delivery and adoption, and builds a high-performing product organization.

Leads complex technology projects and strategic initiatives for Asset & Wealth Management Technology. Responsibilities include analyzing operational and financial data, conducting industry research, developing quantitative and qualitative analyses, coordinating leadership meetings, preparing executive communications, managing stakeholders and risks, and supporting technology strategy execution.

Owns end-to-end product marketing for Uniphore’s AI platform, including positioning, architecture narratives, competitive intelligence, thought leadership, technical content, launches, enablement, and adoption. Partners with Product, Engineering, AI Research, Sales, customers, analysts, and market influencers to differentiate the platform, inform strategy and roadmaps, support enterprise technology buyers, and drive pipeline and revenue.

Leads full-cycle recruiting for highly specialized technical roles across networking, software, cloud, AI, hardware, SONiC, and ASIC engineering. Develops sourcing strategies, builds talent pipelines, engages passive candidates, and advises hiring managers on market conditions, compensation, and hiring approaches. Drives quality hires, timely staffing, strong candidate experiences, and stakeholder satisfaction while ensuring compliant and inclusive hiring practices.

Commercial Data Scientist will develop machine learning models, analyze large healthcare datasets, identify clinician behavioral patterns, and create reusable data products. The role partners with Product, Data, Strategy, Insights, and Sales teams to deliver client-facing analyses and data-driven recommendations. Responsibilities include statistical analysis, production model development, complex SQL querying, scalable data processing, automation, and communicating technical insights through compelling visualizations and narratives.

Leads revenue operations across Sales, Partner, and Customer Success, owning pipeline management, forecasting, territory planning, KPIs, dashboards, systems, and process improvement. Partners with Finance, Analytics, Product, and leadership to translate go-to-market strategy into scalable execution. Manages AI-enabled sales tools, reporting, automation, operating cadences, and a high-performing operations team while driving revenue growth, retention, expansion, and customer outcomes.

Supports semiconductor design rule development, documentation, validation, and optimization for advanced DRAM technologies. Develops scripts, automation solutions, methodologies, and workflows using EDA tools and AI-supported analytics. Performs design rule checking, physical verification, simulation, data analysis, and layout debugging while collaborating with design, CAD, process integration, verification, and product engineering teams.

Leads global Employee Experience support transformation programs across Workplace IT. Responsibilities include maintaining a support technology roadmap, driving ITSM, automation, self-service, AI, and digital employee experience improvements, analyzing service metrics, leading problem management and root-cause analysis, establishing KPIs, delivering executive recommendations, and developing high-performing teams.

Manage an enterprise customer portfolio, advocating for customers and driving adoption, usage, technical health, and business outcomes from ServiceNow products. Provide prescriptive guidance, develop success plays and customer use cases, coordinate internal teams to resolve issues, oversee projects, and ensure customers maximize their ServiceNow investment. The role requires at least seven years of related experience, AI application experience, independent project leadership, analytical problem-solving, collaboration, and ServiceNow certifications.

Leads complex, cross-functional technology programs and strategy initiatives across Asset & Wealth Management. Responsibilities include defining technology priorities, analyzing trends and competitors, developing strategic recommendations, managing roadmaps, resources, budgets, risks, and workstreams, and advising senior executives. The role requires strong stakeholder influence, executive communication, consulting expertise, and the ability to align AI, digital transformation, cloud, analytics, and infrastructure initiatives with business objectives.

Owns day-to-day operations for an on-site fulfillment center, including front desk management, facilities, supplies, vendor relationships, budgets, workplace safety support, culture programming, and internal communications. Builds operating processes for spend tracking, vendor terms, furniture requests, and engagement programs across multiple shifts.

Leads strategy, development, and execution for high-impact US Card products across fraud, recoveries, collections, digital servicing, disputes, AI, data strategy, and workforce management. Defines product roadmaps, drives cross-functional delivery, translates business needs into customer-facing digital solutions, manages technology and product risks, and mentors product teams to deliver scalable business outcomes.

Leads enterprise data science initiatives for agentic AI products, including AI/ML model development, experimentation, telemetry analysis, and strategic recommendations for senior leadership. Partners with data scientists, engineers, and product managers while translating complex statistical insights into business outcomes. Requires extensive experience in quantitative analytics, large-scale data analysis, production AI/ML deployment, A/B testing, and team leadership.

Designs and leads end-to-end AI solutions for healthcare provider clients, redesigning clinical, revenue cycle, and administrative workflows. Advises stakeholders, prioritizes AI use cases, develops implementation specifications and business cases, supports deployments and system enhancements, and ensures responsible AI governance. The role also includes client workshops, executive presentations, training development, stakeholder communication, and evaluating emerging AI technologies.

Leads payer-focused AI consulting engagements from opportunity discovery through implementation. Builds executive relationships with health plans, identifies AI opportunities, leads proposals and negotiations, shapes scopes and commercial models, and oversees cross-functional delivery. Accountable for client satisfaction, delivery quality, revenue, margin, utilization, pipeline, and measurable business outcomes. Develops repeatable consulting offerings, promotes responsible AI practices, and coaches multidisciplinary teams.