Top Artificial Intelligence Jobs

Provides faculty, staff, and student technology support; troubleshoots iPads, MacBooks, applications, classroom technology, and network issues; administers devices and educational platforms; integrates technology and AI into instruction; delivers professional development; and supports technology planning and implementation.

Industrial Engineering Interns support targeted projects involving operational observations, data collection, work measurement, cost-benefit analysis, process improvement, operational planning, and cross-functional communication. Interns apply statistical analysis, AI, automation, and data analytics to improve operational efficiency, work independently or collaboratively, solve problems, and present completed projects to Industrial Engineering staff.

Plans and integrates cyberspace operations for USCYBERCOM and related mission organizations. Develops and staffs OPLANs, OPORDs, FRAGOs, crisis plans, and courses of action; leads operational planning groups, targeting synchronization, capability integration, requirements prioritization, and transition to current operations. Assesses cyber threats, capabilities, intelligence support, and operational performance while coordinating across DoD and Intelligence Community partners. Applies joint planning doctrine, cyber policies, and operational guidance to support strategic and crisis activities.

Drive revenue growth for Turing’s AI capabilities and talent solutions by prospecting, qualifying, developing, negotiating, and closing complex enterprise opportunities. Build executive relationships, expand strategic accounts, manage sales pipelines and quotas, and collaborate with operations, talent, product, finance, and commercial teams. The role requires independent execution, consultative technical fluency, outbound business development, and the ability to navigate complex stakeholder and purchasing environments.

Leads the Houston Member Engagement Center’s quality assurance and workforce management programs. Owns forecasting, scheduling, QA standards, calibration, staffing reports, process improvements, operational tools, product feedback, and AI adoption. Manages QA personnel, partners with supervisors and Learning & Development, improves customer and agent experiences, and translates performance data into operational recommendations and measurable enhancements.

Analyze supply chain risks and opportunities using SQL, R, Power BI, and Python. Develop and deploy AI-driven tools, intelligent agents, bots, and machine learning models for forecasting, inventory, procurement, logistics, automation, and cost reduction. Collaborate cross-functionally on process optimization, document AI-enabled procedures, and train teams on new tools and reports.

Executive leader responsible for the Product Support division, including Parts, Service, Logistics, Field and Shop Service, and Product Support Sales. Owns P&L performance, strategic planning, operational excellence, customer experience, safety, talent development, OEM partnerships, and digital transformation. Leads profitability, service quality, inventory efficiency, technician productivity, customer retention, and proactive equipment-support initiatives across a complex, multi-location organization.

Drives new customer acquisition for healthcare IT solutions within small specialty practices. Responsibilities include territory strategy, pipeline generation, consultative selling, product demonstrations, needs assessments, ROI discussions, complex negotiations, forecasting, objection handling, and closing net-new business. The role builds relationships with physicians and practice administrators, collaborates with internal teams, monitors market trends, and represents the company at industry events. Approximately 30% travel throughout the United States is required.

Develop predictive models, algorithms, and AI solutions from structured and unstructured data. Analyze, clean, visualize, and interpret complex datasets using statistical and general-purpose programming languages. Lead solution development, apply machine learning, NLP, text mining, and LLM techniques, and advise clients on data-driven decisions. The role requires collaboration with clients and leadership of teammates while working with classified information.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Lead secure AI program management across identity, access, network, and data security teams. Establish governance, KPIs, operational rhythms, executive communications, risk management, and cross-functional execution. Analyze AI security risks, support responsible AI adoption, improve cybersecurity workflows, and coordinate leadership planning and engagement initiatives.

Lead the design and product lifecycle of Gusto’s enterprise capability framework and talent development ecosystem. Build modular learning architecture, taxonomies, enablement programs, and workflow-integrated learning solutions. Partner with HR, technology teams, and executives to validate capability needs, prioritize investments, define AI-native skills, and establish scalable content governance. Use data tracking, rapid prototyping, generative AI, and A/B testing to optimize learning experiences and support organizational development.

Leads corporate and internal communications strategy across corporate teams, franchise owners, and clinics. Responsibilities include managing communications intake, executive messaging, recurring publications, editorial strategy, engagement analytics, communication processes, training, and cross-functional coordination. The role advises leadership, supports organizational change, improves franchisee communications, and uses AI tools to streamline content and workflows.

Develops pricing strategies, alternative fee arrangements, matter budgets, profitability analyses, and client RFP financial proposals. Uses AI, machine learning, SQL, and Power BI to automate pricing workflows, analyze historical matter data, build dashboards, and improve forecasting and decision-making. Partners with attorneys, partners, business development, project managers, and management on pricing initiatives, competitor analysis, technology enhancements, training, and process improvements.

Lead development of wholesale credit risk models supporting CECL, CCAR, client ratings, and regulatory risk management. Build scalable quantitative methods, high-performance computing solutions, analytics frameworks, and modeling pipelines using large datasets and machine learning. Assess model performance and risk, document methodologies, and communicate results and limitations to credit, finance, technology, governance, and regulatory stakeholders.

Analyzes business processes and systems, gathers requirements, develops reports and system models, and designs software and hardware solutions. The role focuses on intelligent automation, RPA, UiPath, Workbot, IDP, and AI-driven solutions. Responsibilities include troubleshooting, process discovery, automation implementation, database and mainframe analysis, project leadership, and advising junior analysts. Higher levels require programming, network, database, and systems analysis expertise.

Source and qualify prospects through outbound efforts, conduct product demonstrations, tailor solutions to customer needs, manage the full SaaS sales cycle, negotiate contracts, close deals, and build revenue-generating pipeline. The role also requires collaboration with customer success, revenue operations, and marketing teams while using CRM and sales engagement technologies.

Provides operational and administrative support for bank examination teams, including document management, data verification, reporting, and process tracking. Maps and improves business processes, automates manual work with Microsoft tools, evaluates AI applications, and builds Tableau or Power BI dashboards. Coordinates projects, leads change management, develops training and procedures, analyzes operational metrics, and supports team continuity through documentation, cross-training, and mentoring.

Lead FP&A and strategic finance for a high-growth SaaS company. Own long-term planning, forecasting, scenario modeling, variance analysis, investment cases, executive financial narratives, and sales compensation administration. Partner with GTM, Product, and functional leaders to drive decisions, build and scale the FP&A team, modernize planning workflows with AI, and maintain strong financial controls, governance, and data confidentiality.

Leads the Faribault R&D organization and advanced surface technology portfolio while remaining 50–60% hands-on. Develops and optimizes PVD, PECVD, plasma, and thin-film coating technologies; designs experiments; solves technical problems; scales processes into manufacturing; and manages commercialization. The role also sets priorities, oversees budgets, develops technical talent, partners with customers and cross-functional teams, and aligns technology investments with business and manufacturing needs.

Own the full lifecycle of enterprise AI products, from discovering and validating use cases through MVP development, scaling, and broad adoption. Build AI-native experiences including agents, copilots, and workflow automation. Define quality metrics, evaluate AI performance, and drive adoption across IT, HR, Finance, and go-to-market teams. The role requires strong product leadership, experience shipping AI/ML products, and the ability to balance experimentation with reliable enterprise execution.

Lead enterprise customers’ AI and security transformation strategies by translating business priorities into Microsoft technology roadmaps. Build trusted relationships with C-level technology leaders, lead technical decision-maker conversations, coordinate Microsoft and partner teams, and drive adoption and value from Microsoft solutions. Apply industry expertise, consultative selling, and technical leadership to achieve customer business outcomes and account growth.

Leads technology risk advisory engagements, including IT controls assessments, audits, SOC readiness reviews, cybersecurity and ERM evaluations, and technical testing. Oversees planning, budgets, quality control, client relationships, deliverables, and team development. Advises clients on technology trends and implements compliant AI-enabled solutions. Requires strong consulting, analytical, communication, mentoring, and technology risk expertise, with a bachelor's degree and five or more years of professional services experience.

Own paid media strategy and execution across Meta, TikTok, AppLovin, YouTube, Google, and emerging channels. Drive profitable e-commerce growth through budget allocation, creative strategy, funnel development, forecasting, measurement, and AI-enabled workflows. Manage a media buying coordinator, optimize CAC, LTV:CAC, contribution margin, and payback, and provide strategic recommendations to the Head of Growth.

Manages global pharmaceutical quality systems, including eQMS implementation, maintenance, validation, enhancements, and lifecycle management. Optimizes quality workflows such as CAPA, change control, deviations, batch review, inspections, and audits. Develops quality metrics, reports, dashboards, and data governance practices while supporting digital transformation, automation, and AI initiatives. Partners with Quality, IT, analytics, regulatory, manufacturing, clinical, and other stakeholders on requirements, process improvement, system adoption, training, and change management.