Top Artificial Intelligence Jobs

Supports Intel’s finance operations through cost close and planning, budgeting, forecasting, variance analysis, financial modeling, scenario analysis, and cost optimization. Partners with manufacturing and operational teams, supports ERP system design and implementation, automates reporting tools, improves financial processes, ensures reporting compliance, and provides strategic recommendations to senior leaders.

Manages the New York office and employee experience, including vendors, facilities, supplies, events, budgets, deliveries, visitor support, calendars, interviews, onboarding, and confidential employee needs. Partners closely with executives and HR, coordinates offsites and recurring meetings, and improves workplace processes using productivity tools and AI. The role is in-office Monday through Thursday and requires strong organization, discretion, communication, and operational judgment.

Supports product operations across software releases, launches, localization, support knowledge, partner communications, enablement, and business operations. Coordinates readiness checks, release notes, documentation, issue routing, training environments, portfolio hygiene, and operating metrics. Improves cross-functional processes and applies AI to automate triage, documentation, and reporting. Works with support, customer success, sales, marketing, content, localization, and international teams.

Leads enterprise Key Drivers Analytics and an Associate Director team delivering advanced analytics across pharmaceutical business priorities. Owns analytics roadmaps, methodologies, governance, modeling standards, talent deployment, and globally distributed delivery. Directs multivariate analyses, segmentation, diagnostics, scenario modeling, validation, insight generation, and executive recommendations. Partners cross-functionally to translate evidence into measurable business actions while ensuring reproducibility, compliance, responsible AI, and scalable analytical solutions.

Leads enterprise advanced analytics and modeling to identify drivers of business performance across brands, markets, customers, accounts, and geographies. Translates findings into prioritized actions, playbooks, launch strategies, and scenario-based recommendations. Oversees rigorous, scalable analytical approaches, partners with senior stakeholders, and develops analytics talent across the organization.

Leads the enterprise Advanced Analytics and Modeling portfolio, strategy, roadmap, governance, investment priorities, and global operating model. Oversees analytics capabilities spanning precision health, commercial analytics, optimization, AI, NLP, GenAI, and unstructured intelligence. Partners with senior business and technology leaders to translate strategic decisions into validated, interpretable, reusable analytical solutions and measurable impact. Manages senior capability leaders and distributed US-Hyderabad teams while developing talent, allocating resources, and guiding scalable ModelOps and enterprise deployment.

Leads enterprise legal strategy for technology, intellectual property, cybersecurity, privacy, commercial contracting, and corporate services. Advises executives and boards on technology transformation, AI, data governance, cyber incidents, regulatory risk, partnerships, procurement, and strategic transactions. Oversees attorneys and external counsel while developing practical legal frameworks that support innovation, operational resilience, compliance, and business growth.

Leads and advises on systems engineering across complex national and allied geospatial-intelligence systems. Responsibilities include requirements engineering, architecture, integration, testing, reliability, cloud capability analysis, technical planning, risk management, trade studies, and systems acquisition. Oversees other systems engineers, coordinates multi-organization initiatives, and provides expert guidance to government stakeholders. The role requires extensive experience with DoD or intelligence-community acquisition and systems engineering processes, plus TS/SCI clearance eligibility and polygraph compliance.

Leads and advises systems engineering across complex geospatial intelligence enterprises, including requirements engineering, architecture, integration, testing, reliability, risk management, cloud capability assessment, and technical planning. Supports trade studies, acquisition processes, requirements allocation, and solution design while coordinating systems engineers across experience levels. Requires extensive government or industry experience, strong systems engineering lifecycle knowledge, and TS/SCI clearance with polygraph eligibility.

Leads integration and deployment of spectral exploitation environments within the NSG TCPED enterprise. Translates mission requirements into system solutions, performs systems integration, supports architecture and requirements traceability, and coordinates with systems engineers, image scientists, and developers. Requires expertise integrating sensor and spectral data solutions across cloud, on-premise, or hybrid environments, with strong systems engineering, NGA program experience, and TS/SCI eligibility.

Leads and supports systems engineering across complex National and Allied geospatial-intelligence systems. Responsibilities include requirements engineering, architecture traceability, solution design, integration, testing, reliability, risk management, technical planning, and analysis of alternatives. Advises government stakeholders, translates mission needs into system requirements, integrates major acquisitions across organizational boundaries, and coordinates engineers at multiple levels.

Owns strategy and lifecycle delivery for AI, data, and healthcare technology products. Leads customer discovery, requirements, prioritization, integrations, investment cases, pricing, adoption, and performance measurement. Partners with clinical, data science, engineering, commercial, customer, and executive teams to deliver enterprise products and improve clinical, operational, and financial outcomes. Mentors product managers and serves as a senior individual contributor.

Leads business intelligence and analytics for Razorback Athletics’ external and revenue-generating operations. Integrates fan, donor, and commercial data to identify revenue opportunities, improve performance, and support strategic decisions. Develops analytics strategies, KPI frameworks, dashboards, and reporting systems while applying automation, predictive analytics, artificial intelligence, and machine learning. Collaborates with athletic department leaders across ticketing, fundraising, marketing, licensing, merchandising, partnerships, and concessions.

Conducts research on human-AI interface design, develops interaction patterns, and supports digital archive data workflows for machine learning datasets. Responsibilities include metadata analysis, exploratory data analysis, data augmentation and organization, and liaison work between Liberatory Tech and Douglass Day projects. The associate will also participate in critical discussions about AI use in digital archives and support programming initiatives.

Draft, review, negotiate, and close complex commercial, procurement, technology, partnership, and IP licensing agreements. Partner with Sales, customers, vendors, and cross-functional teams throughout negotiations and contract execution. Build scalable contracting processes, templates, playbooks, and guidance while identifying risks and improving efficiency in a fast-moving AI company.

Partners with enterprise customers to understand objectives and deliver scalable technology solutions. Designs, configures, integrates, deploys, and optimizes cloud and platform-based solutions across the engagement lifecycle. Provides technical guidance, resolves complex challenges, collaborates with engineering and architecture teams, and contributes to reusable assets, best practices, mentoring, and continuous improvement.

Supports large-scale warehouse automation and robotics deployments at customer sites. Coordinates schedules, deliverables, milestones, risks, issues, meetings, reporting, and cross-functional activities across engineering, supply chain, installation, commissioning, and operations teams. Assists with site readiness, logistics planning, resource coordination, project data analysis, and stakeholder accountability while developing the skills to manage increasingly complex projects.

Own executive relationships and performance across hospital partners operating Moxi robot fleets. The role monitors utilization and reliability data, leads business reviews, manages issue-resolution projects, drives staff training and use-case adoption, and identifies expansion opportunities. Success requires strong client communication, data fluency, project management, executive presence, ownership, and creative problem-solving in a fast-moving, ambiguous environment.

Lead product management for AI features in a consumer-facing software platform, guiding products from discovery through launch and iteration. Define success metrics, shape personalization and prompting strategies, collaborate with engineering and design, refine AI models, and lead ambiguous 0-to-1 initiatives. The role requires hands-on AI product experience, rapid prototyping skills, customer-facing product management experience, startup experience, and demonstrated career progression.

Owns the strategy, backlog, discovery, delivery, and optimization of AI-powered agent and conversational experiences for students. Partners with engineering, UX, analytics, and business stakeholders to define requirements, prioritize roadmaps, launch software products, measure performance, and improve customer and business outcomes across web, mobile, messaging, and CRM channels.

Leads the enterprise Master Data Governance program, establishing policies, standards, operating models, data-quality controls, stewardship practices, and governance roadmaps. Builds and manages data governance teams, drives cross-functional adoption, oversees master data domains and products, develops KPIs, and advances AI enablement and operational excellence across data-intensive processes.

Own post-sale relationships for healthcare and health-tech clients, leading implementations, launches, adoption, executive business reviews, account health, renewals, and expansions. Build implementation playbooks and post-launch operating processes while managing complex cross-functional projects and multiple enterprise accounts. Partner with health plan and health system leaders to communicate performance, resolve risks, drive engagement, and support long-term client growth.

Leads Fieldguide’s transition to agentic audit operations by translating audit standards and professional judgment into AI workflows, documentation, guardrails, and product requirements. Owns customer transformation frameworks, adoption programs, training, and strategic account engagements. Partners with product, engineering, sales, and customer success; monitors regulatory developments; supports go-to-market activities; and represents the company with firms, regulators, standard-setters, and industry organizations.

Lead strategic sales of AI Workforce solutions, including Microsoft Copilot, AI agents, Viva, Windows 365, and Azure Virtual Desktop. Develop customer strategies, identify opportunities, build pipeline, conduct consultative business and technical conversations, and orchestrate internal teams and partners to close complex deals. The role requires expertise in technology sales, AI, forecasting, demand generation, stakeholder engagement, competitive positioning, and cross-selling across enterprise and regulated customers.

Leads strategic AI, Salesforce modernization, and sales enablement technology initiatives across the insurance business. Oversees the full SDLC, including planning, delivery, budgeting, risk management, implementation, stabilization, and post-launch support. Coordinates business, product, technology, architecture, data, security, finance, operations, and external partners. Drives AI adoption, mobile and digital sales experiences, integrations, governance, regulatory readiness, and measurable business outcomes while influencing cross-functional teams without direct authority.