Top Artificial Intelligence Jobs

Leads Smart Manufacturing and IT for a 300mm semiconductor wafer fab. Partners with factory leadership to deliver technology roadmaps, manufacturing systems, equipment automation, AMHS, robotics, reliability, digital transformation, and AI-enabled solutions. Oversees a multidisciplinary engineering organization, production-critical IT availability, incident response, vendor coordination, portfolio prioritization, and adoption of technologies that improve capacity, quality, productivity, cycle time, yield, cost, and factory resilience.

Own the strategy, roadmap, and evolution of client-facing analytics and reporting products. Define KPIs, dashboards, visualizations, and scalable cross-product reporting capabilities. Partner with Product, Data, Analytics, Engineering, UX, Sales, Client Success, and Implementation teams to prioritize initiatives, translate customer needs into requirements, improve self-service analytics, and measure adoption and business outcomes. The role focuses on healthcare data and delivering actionable insights for clients.

Leads the Business Affairs team supporting broadcast, social, digital, and experiential productions. Oversees budgets, timelines, production risks, insurance, standards and practices, AI and intellectual property issues, talent payments, licensing, contracts, vendor negotiations, and agency process improvements. Mentors team members, partners with legal, creative, production, clients, and vendors, and develops scalable production templates and procedures.

Owns C3 AI’s corporate social media, internal newsletter, blog, executive communications, and announcement content. Develops editorial strategy, repurposes stories across channels, supports PR and events, identifies media opportunities, maintains consistent messaging, and analyzes content performance. Requires strong writing, editing, communications, and PR experience, along with the ability to explain AI and enterprise technology to business audiences.

Develop Unix applications and complex CNO capabilities using C, C++, Rust, or Python. Collaborate with AI/ML and software engineers to build systems supporting national security operations, define operational parameters, and apply software lifecycle practices across design, development, testing, validation, and deployment. The role also involves embedded software validation and leveraging AI-assisted development.

Develop Windows applications and complex software for national security and computer network operations. Collaborate with AI/ML and software engineering teams, apply network operations expertise, manage software lifecycle activities, and design, test, validate, and deploy Windows-focused solutions. The role requires object-oriented programming experience, strong C/C++/C# skills, familiarity with Rust or Python, and a TS/SCI clearance with polygraph.

Analyze and document enterprise data environments for financial services clients, with a focus on Customer and Party Master Data Management. Define data flows, lineage, quality rules, governance models, entity resolution requirements, and MDM implementation roadmaps. Facilitate requirements sessions, collaborate with business and technical stakeholders, and prepare mappings, diagrams, documentation, and presentations. The role requires strong data management experience, financial services knowledge, and proficiency with analytical and documentation tools.

Lead client consulting workstreams focused on demand, supply, inventory, production, capacity planning, forecasting, and S&OP. Assess planning processes, design improvements, support APS and ERP implementations, develop analytics and AI-enabled planning solutions, and manage client relationships, deliverables, timelines, and junior team members. The role requires hands-on supply chain planning experience and collaboration with cross-functional stakeholders.

Leads HeyGen’s strategic partnerships function, securing distribution, API, OEM, embedded, licensing, and revenue-share deals with major technology and AI companies. Owns partnerships from sourcing through negotiation, launch, post-deal growth, and co-marketing. Develops partnership strategy, builds the API partner program, collaborates with Product, Engineering, Legal, Finance, and Marketing, represents the company externally, and eventually hires and manages a partnerships team.

Designs, develops, coordinates, and facilitates scalable training programs for chapter leaders, field teams, and diverse audiences. Creates curricula, guides, playbooks, digital content, workshops, and onboarding programs using adult learning and instructional design principles. Partners with stakeholders to identify learning needs, evaluates training effectiveness, and drives continuous improvement. The role requires strong communication, facilitation, relationship-building, project management, and occasional travel.

Leads cross-functional teams in delivering customer-focused products and services. Manages program schedules, budgets, staffing, metrics, product lifecycle activities, customer relationships, contract support, production-site coordination, and corrective actions. Oversees interdepartmental execution against timelines, quality standards, delivery commitments, and business objectives while serving as a customer escalation point and supporting continued business growth.

Build and deploy production AI agents for real customers. Responsibilities include orchestrating LLM pipelines, integrating APIs and tools, developing React interfaces, implementing RAG and document-processing systems, deploying serverless applications, and monitoring performance. The role requires strong Python or JavaScript skills, hands-on OpenAI and multimodal LLM experience, vector databases, agent frameworks, function calling, and full-stack integration. Applicants must be pursuing a Master's or PhD in a technical field.

Develop and maintain AI, machine learning, statistical, and forecasting models for commercial demand planning. Analyze large datasets, monitor model performance, improve forecast accuracy, document workflows, and communicate insights to technical and business stakeholders. Collaborate with Finance, Commercial, Market Access, and Analytics teams to translate business needs into analytical solutions and support standardized forecasting tools and processes.

Manage a portfolio of 120–150 donors and prospects, securing and stewarding major gifts of $100,000–$1 million. Develop engagement, cultivation, solicitation, and stewardship strategies; collaborate with physicians, researchers, leaders, and advancement teams; prepare donor proposals and correspondence; track fundraising metrics and CRM data; and plan high-touch donor visits, events, and initiatives.

Build and manage VEG’s enterprise knowledge strategy and operations. Establish governance standards for organizing, owning, reviewing, updating, and retiring knowledge. Improve the knowledge library, coordinate subject-matter experts, and resolve content gaps or conflicts. Partner with ServiceNow and technology teams to enhance search and self-service. Use search analytics, support trends, feedback, virtual-agent data, AI, and automation to improve access to reliable information.

Own the vision, strategy, roadmap, and success metrics for AI-powered procurement products. Lead discovery and development of supplier intelligence, contract insights, obligations, renewals, amendments, risk analysis, and procurement workflows. Partner with engineering, AI, data, design, and go-to-market teams to translate complex customer needs into trusted products, define AI quality metrics, build human-feedback loops, and drive launches, adoption, and measurable business outcomes.

Leads the full Customer Success organization across strategic enterprise and scaled customer segments. Owns retention, expansion, customer health, executive sponsorship, operating models, resource allocation, and commercial outcomes. Builds organizational design, talent pipelines, engagement standards, health-scoring systems, and escalation processes while partnering with Sales, Product, Engineering, and executive leadership. Drives AI-enabled customer operations and manages high-value enterprise relationships.

Manages loss control and risk engineering services for underwriting, claims, and insureds. Oversees risk surveys, regulatory compliance, loss control plans, vendor coordination, quality assurance, service budgets, and performance reporting. Develops processes, metrics, best practices, portal enhancements, and automation initiatives while providing technical guidance and mentoring to loss control professionals. This hybrid role requires working at least three days weekly in the Morristown, New Jersey office.

Owns global consolidation, technical accounting, and SEC reporting workstreams across corporate entities and consolidated funds. Responsibilities include ASC 810 VIE assessments, consolidation schedules, technical accounting memoranda, U.S. GAAP policy development, SEC filing support, audit coordination, SOX controls, process automation, and collaboration with Fund Accounting. Leads assigned workstreams, provides technical guidance, and reviews junior team members’ work.

Leads DREAM’s AI-focused school partnerships, including partner recruitment, onboarding, contracting, compliance, data and technology coordination, cohort learning, convenings, site visits, impact measurement, and continuous improvement. Manages the Innovation Partnerships Team, collaborates with leadership and cross-functional teams, supports the AI Advisory Board, and builds operational systems for scaling programs across Bronx schools.

Leads recruitment, selection, onboarding, compliance, and ongoing partnership operations for schools participating in DREAM’s AI-focused program. Coordinates contracts, privacy and data-sharing requirements, onboarding timelines, documentation, communications, and partner logistics. Builds relationships with school stakeholders, supports technology and systems integration, provides responsive partner service, and collaborates across communications, advancement, and program teams to deliver successful cohort experiences.

Shape and improve DTCC’s enterprise AI governance framework. Review and challenge AI use cases, manage lifecycle governance, maintain AI inventories and attestations, develop risk metrics and reporting, support audit and regulatory readiness, and advise product, engineering, risk, compliance, legal, and data stakeholders on responsible AI controls and standards.

Analyzes and improves investment operations processes spanning trading, custody, accounting, performance, compliance, and client reporting. Investigates data issues and exceptions, evaluates financial and operational impacts, coordinates resolutions, strengthens controls, and redesigns workflows. The role develops expertise in investment accounting, reconciliations, trade settlements, corporate actions, and reporting while applying automation, analytics, and AI to improve data quality, scalability, and client outcomes.

Leads and builds Grace Hill’s Account Management function, owning enterprise retention, renewals, and expansion. Partners with Sales to establish playbooks, forecasting, pricing, multiyear contracts, and account health processes. Serves as executive relationship owner for strategic customers, recruits and develops the team, and drives cross-functional collaboration across Sales, RevOps, Solutions Engineering, and Customer Success. Applies AI to improve account planning, forecasting, customer insights, and workflow efficiency.

Summer engineering intern supporting AI vision safety systems, plant robotics, continuous improvement, digital transformation projects, and process documentation. The role involves project planning, cross-functional collaboration, process improvement, and applying emerging technologies to manufacturing operations.