Top Artificial Intelligence Jobs

Manage Sharecare and AskMD social channels across Instagram, TikTok, and YouTube. Develop calendars, publish content, create and edit short-form videos, engage communities, coordinate creators and production teams, analyze performance, and support launches and events. The role also requires appearing on camera when needed, using AI-assisted production tools, and routing health-related content through clinical and brand review.

Own a portfolio of organizations and scientific projects advancing AI resilience. Responsibilities include mapping AI-related bottlenecks, developing investment theses, sourcing and diligencing projects, recruiting founding teams, coaching founders, supporting fundraising and operations, serving on boards, and cultivating relationships with philanthropic and public funders. The role requires technical fluency in frontier AI, startup-building experience, fundraising, hiring, budgeting, roadmap development, governance familiarity, and a strong field network.

Conduct mixed-method behavioral research on cybersecurity, privacy, artificial intelligence, risk, trust, and human behavior. Design and lead interviews, focus groups, surveys, and experiments; analyze quantitative and qualitative data; publish findings; support grant proposals; mentor student researchers; manage project milestones; and disseminate results with interdisciplinary and international collaborators.

Manage information security risk for CFO and Global Risk Management functions. Assess control gaps, exceptions, vulnerabilities, vendors, cloud services, applications, infrastructure, data protection, and identity access. Coordinate remediation, audits, regulatory activities, governance, and risk reporting across business, technology, legal, compliance, and vendor stakeholders. Translate technical risks into business impacts, provide practical guidance, monitor emerging threats, and support security strategy and modernization initiatives.

Leads enterprise FP&A, including P&L consolidation, annual operating planning, forecasting, actuals reporting, scenario analysis, and board and earnings preparation. Owns the FP&A technology and AI roadmap, automates executive decision products, improves financial workflows, and develops a modern finance organization. Partners with senior leaders across Finance and the broader business to deliver strategic insights and drive aligned financial decisions.

Owns the mobile app product vision, roadmap, backlog, requirements, beta program, release readiness, and customer feedback loop. Partners with engineering, design, QA, analytics, and business teams to deliver measurable improvements in adoption, engagement, retention, and satisfaction. Responsibilities include creating user stories and acceptance criteria, prioritizing work, managing releases, analyzing product data, coordinating stakeholders, and identifying opportunities for AI, automation, personalization, and digital transformation.

Drive new enterprise business across the North American technology sector by prospecting, managing complex $100K–$1M+ sales cycles, conducting value-based demonstrations, building predictable pipelines, and closing high-value SaaS and AI deals. Engage executives, procurement, legal, and security stakeholders while partnering with regional leadership, solutions engineering, and product teams.

Leads enterprise AI governance, portfolio strategy, intake, prioritization, roadmaps, and lifecycle management across UL organizations. Partners with business, technology, legal, security, risk, compliance, finance, HR, vendors, and external partners to operationalize responsible AI, evaluate delivery approaches, measure value, manage adoption, and drive AI literacy. Establishes operating frameworks, governance processes, performance metrics, change programs, and sustainable AI implementation strategies.

AI Business Transformation Interns will evaluate and prototype Generative and Agentic AI use cases using approved tools to improve and automate business operations. They will collaborate with Information Technology, Finance, Supply Chain, and vendors while creating AI-enabled project artifacts, knowledge repositories, and searchable documentation for enterprise software digitization projects.

Supports enterprise data architecture initiatives involving data sources, integrations, pipelines, cloud technologies, IoT and telematics data, governance, quality, visualization, artificial intelligence, and machine learning. The intern will document data flows, develop proof-of-concepts, create architecture diagrams and dashboards, analyze data for business insights, and collaborate with architects, engineers, analysts, and stakeholders to deliver a meaningful summer project.

Leads the bank’s enterprise AI strategy, portfolio, engineering capability, governance, vendor and platform strategy, and workforce adoption. Translates business priorities into production AI initiatives, including generative AI and agentic systems, while ensuring risk controls, security, privacy, auditability, model governance, and measurable value realization. Builds and manages senior AI talent, partners with business and control functions, oversees responsible AI practices, and reports progress, cost, risk, adoption, and outcomes to executive leadership and the Board.

Lead complex consulting engagements and transformation initiatives from strategy through implementation. Responsibilities include analyzing business challenges, improving processes, developing business cases and KPIs, facilitating client workshops, overseeing technology implementations and vendors, managing change initiatives, and building executive-level client relationships. The role spans digital acceleration, customer-centric growth, organizational enablement, data intelligence, and strategic program management.

Build the company’s growth function through AI-agent workflows, marketing experiments, paid and organic acquisition, lifecycle and partnership programs, and hands-on content production. Create videos, ads, landing pages, and campaign copy; research competitors; refine enterprise positioning; develop marketing data infrastructure; and report on pipeline, conversion, and acquisition costs. Collaborate with leadership and product teams on launches and market feedback.

Build full-stack AI agents and product features for commercial workflows, including quoting and pricing. Develop user interfaces, backend integrations, ERP connections, and privacy-compliant deployments. Work with TypeScript, React, and potentially Next.js while incorporating customer feedback and experimenting with new AI tools and agent orchestration frameworks. The role requires shipping customer-facing products and working onsite five days per week in San Francisco.

Manage and grow sales across named state, local, and higher-education accounts in New England. Exceed sales targets through consultative selling, develop new and existing customer relationships, present solutions to decision-makers, and build account plans. Partner with systems engineers, professional services, executives, technology partners, and channel organizations to position networking and cloud solutions. Navigate government procurement, generate demand through events, and maintain knowledge of competitive technologies.

Teach electrical and computer engineering courses, advise students, and supervise student projects within WPI’s project-based curriculum. The role requires teaching excellence across a broad range of ECE topics, such as power and renewable energy systems, RF circuits, microelectronics, signal processing, communications, digital circuit design, embedded systems, and artificial intelligence. The professor will contribute to WPI’s collaborative academic environment and support multidisciplinary student learning.

Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.

Develops knowledge strategy and resources for exempt organizations and personal planning legal practices. Evaluates and supports AI and legal technology adoption, creates precedents and training materials, monitors legislative and legal developments, publishes client alerts, maintains practice intelligence dashboards, supports pitches and RFPs, and mentors attorneys on legal research and knowledge resources.

Lead the US commercial legal team and advise on SaaS, licensing, enterprise sales, and strategic partnership transactions. Draft and negotiate complex agreements, develop regional templates and playbooks, monitor AI, privacy, cybersecurity, and data-transfer regulations, and provide practical risk guidance. Manage US lawyers and contract managers while partnering with sales, business development, operations, and global legal colleagues to support responsible growth.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to iterate rapidly after launch.

Leads a 20+ person Analytics Engineering organization responsible for revenue, bookings, people analytics, and go-to-market data pipelines. Sets technical strategy, drives data transformation and governance, owns internal analytics agents and semantic layers, advances AI-assisted engineering, and partners with Product, Engineering, GTM, and business stakeholders. The role also supports customer conversations, thought leadership, cross-functional roadmaps, and enterprise-scale data initiatives.

Owns delivery of AI data generation and model improvement projects in healthcare and clinical domains. Responsibilities include managing a book of business, coordinating clinical and life sciences experts, delivering high-quality training datasets, implementing QA processes, improving operational systems, and supporting customer relationships. Senior candidates additionally lead deal scoping, pricing, expansion planning, and commercial outcomes.

Lead the strategy and execution of MaintainX reporting, analytics, and ROI products. Expand capabilities from frontline managers to enterprise stakeholders, including operations, finance, and EHS leaders. Partner with data, infrastructure, design, engineering, sales, and post-sales teams to define requirements, support enterprise deals, prioritize roadmap investments, and measure customer and business outcomes through KPIs.

Build and operate MeritFirst’s assessment and hiring platform, including candidate and employer experiences, assessment delivery and evaluation systems, workflows, infrastructure, and AI-enabled features. Own problems end to end from product discovery and system design through deployment, debugging, observability, and iteration. Develop reliable, interpretable, auditable, secure, privacy-conscious software, improve technical foundations, and help establish engineering standards as the company scales.

Own product strategy and execution for digital shareholder engagement and regulatory communications products. Responsibilities include roadmap development, market discovery, business case creation, regulatory requirement translation, product development, launch, commercialization, and optimization. Partner with technology, UX, operations, legal, compliance, and security teams; engage enterprise clients and pilot users; evaluate market developments; and present product strategies to clients and executives.