Top Artificial Intelligence Jobs

Lead Weave’s brand narrative, positioning, communications, media relations, product launches, content pipeline, and creative production for home robotics. Partner with founders and cross-functional teams to translate sophisticated technical work into compelling messaging, support recruiting efforts, and build a communications function. The role requires strong strategic writing, technical fluency, launch leadership, and experience marketing at a high-growth technology company or startup.

Leads Metropolis's hospitality growth strategy, commercial expansion, national account sales, partnerships, vertical marketing, and product commercialization. Owns the segment growth target and collaborates with sales, operations, marketing, product, and data teams to build market-leading hospitality solutions. Responsibilities include developing commercial structures, scaling the Recognition Platform, creating industry partnerships, translating customer insights into product-market fit, and using data-driven tools to accelerate pipeline performance and value creation.

Leads retail growth and commercial strategy, owning revenue expansion, national account wins, partnerships, B2B marketing, deal structures, product-market fit, and vertical offerings. Builds retail industry relationships, coordinates sales, product, marketing, operations, and data teams, establishes growth reporting, and represents the company through trade press, conferences, and industry thought leadership.

Leads hospitality-sector growth strategy, commercial expansion, national account wins, partnerships, vertical marketing, and profitable segment performance. Collaborates with sales, operations, product, marketing, and data teams to scale parking, security, recognition, and biometric technology solutions. Owns hospitality growth targets, commercial structures, product-market fit, industry positioning, dashboards, and enterprise relationships across major hospitality brands.

Leads retail growth and commercial strategy, owning segment revenue and expansion. Responsibilities include winning national accounts, developing partnerships, shaping vertical solutions and deal structures, scaling B2B marketing, collaborating with product and sales teams, building growth reporting, and representing the company through industry thought leadership. The role requires extensive retail relationships, strategic business development expertise, financial modeling, P&L management, and cross-functional leadership.

The AI Product Manager identifies and prioritizes AI opportunities across enterprise functions, develops business cases and product requirements, and manages roadmaps from discovery through production and adoption. The role assesses data readiness, governance, privacy, security, model quality, and risk while partnering with technical and business teams. Responsibilities also include change management, stakeholder communication, training, performance measurement, and demonstrating outcomes such as efficiency, cost savings, quality, user adoption, and ROI.

Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, guardrails, evaluation, orchestration, and observability. Optimize model performance, scalability, latency, throughput, hardware utilization, and cost. Establish AI governance standards, lead technical reviews, shape long-term platform strategy, and mentor senior AI engineers. Collaborate with engineering, research, product, and program teams to deliver responsible AI products.

Conduct applied AI research focused on recommendation systems and foundation models. Design, train, evaluate, validate, and implement large-scale models using PyTorch, AWS, Hugging Face, and Lightning. Collaborate with data scientists, engineers, and product managers to deliver AI products, translate research into business outcomes, and publish technical findings. Own research agendas, reproduce and extend peer-reviewed work, and optimize models for large-scale training and inference.

Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and model evaluation. Lead AI architecture, orchestration, cost-performance governance, technical reviews, roadmap development, and responsible AI standards. Mentor senior technical staff and apply advanced optimization techniques to improve model scalability, latency, throughput, hardware utilization, and inference cost.

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Build and lead development of cloud-based, full-stack systems supporting observability, connectivity, resilience, and availability. Design distributed microservices, define service boundaries, establish engineering standards, improve system performance, reduce technical debt, and implement AI-powered solutions. Collaborate with product managers and architects, influence technology strategy, mentor engineers, and drive cross-functional technical initiatives using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes.

Design, develop, validate, and deploy machine learning, GenAI, LLM, and agentic solutions for enterprise healthcare operations. Build scalable Python inference APIs on Kubernetes, implement semantic search and retrieval capabilities, and maintain AI/ML pipelines. Evaluate emerging technologies, apply responsible AI practices, use AI-assisted development tools, and collaborate with technical and business stakeholders while ensuring strong documentation, coding standards, and performance monitoring.

Leads multiple software engineering teams within employee platforms, providing technical guidance, managing delivery, coaching engineers, and ensuring compliance with business requirements and service levels. Drives responsible adoption of enterprise-authorized AI-assisted development, SDLC automation, and reusable engineering practices. Oversees stakeholder relationships, project dependencies, agile delivery, security, application resiliency, and cloud-native engineering initiatives.

Own the vision, strategy, roadmap, and execution of Snapchat safety, law enforcement, and regulatory compliance products. Define goals and metrics, identify opportunities through data and user research, collaborate with engineering and cross-functional partners, translate regulatory requirements into product solutions, and drive launches. The role requires strong analytical, communication, prioritization, relationship management, and AI-focused problem-solving skills.

Leads Microsoft's Oil & Gas strategic sales organization, managing 8–10 account and technology directors serving major enterprise customers. Develops industry go-to-market and account strategies, coaches sales teams, builds executive relationships, and orchestrates internal and partner resources. Drives revenue, consumption, pipeline, customer transformation, and people outcomes through cloud, data, security, and AI solutions while ensuring compliance, responsible AI adoption, and customer trust.

Own the Everand consumer mobile app’s vision, strategy, roadmap, and reader experience across iOS and Android. Lead a cross-functional squad, prioritize investments, drive execution, improve retention and engagement, and maintain high app quality. Use reader research, experimentation, analytics, AI, and personalization to guide decisions while partnering across product, engineering, content, marketing, and leadership.

Manage approximately 30 enterprise agency and systems integrator partner relationships. Build strategic partnerships, advise partners on Klaviyo solutions, drive referrals, co-selling, revenue growth, co-marketing, enablement, and product adoption. Serve as a trusted consultant and product expert, present to partner audiences, develop joint business strategies, and collaborate cross-functionally with Sales, Customer Success, Marketing, Product, and Enablement. Travel may be required for partner meetings and events.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Supports JPL’s Financial Strategy, Planning & Analysis Office with financial modeling, forecasting, budgeting, performance analysis, reporting, documentation, data validation, process improvement, and AI-enabled automation initiatives. The intern will analyze financial and operational data, prepare reports and presentations, maintain records, support strategic and operational projects, and collaborate with cross-functional teams. This is a fully onsite, part-time academic internship in Pasadena, California.

Support strategic finance initiatives involving transactions, capital markets, market research, business model evaluation, and finance partnership with Research. Develop financial performance presentations, metrics, resource allocation insights, and growth plans across the P&L, cash flow, and balance sheet. Collaborate with Accounting and Corporate Finance to improve financial reporting and finance operations while communicating complex analyses to leadership.

Serves as the technical point of contact for Mayo Clinic Platform clients using de-identified healthcare data, data science tools, and AI capabilities. Responsibilities include evaluating project requirements, answering technical and data questions, coordinating with research and development teams, onboarding and training users, managing client relationships, collecting success metrics, improving platform programs, and supporting strategic expansion.

Own and scale Karbon’s global talent acquisition function as a player-coach. Lead recruiters, personally close roles, establish data-driven forecasting and performance systems, improve candidate experience and processes, and provide executive visibility into recruiting KPIs. Partner with leaders to align hiring priorities, coach the team, maintain high talent standards, manage recruiting vendors, and integrate AI tools to improve efficiency and hiring outcomes.

Own global accounting operations, month-end close, financial reporting, payroll, payables, receivables, internal controls, tax compliance, audits, and accounting integration for mergers and acquisitions. Lead and develop the accounting team, partner with the CFO and FP&A, and modernize accounting through AI, automation, and scalable process improvements while ensuring U.S. GAAP and regulatory compliance.

Leads AXS's global data organization and enterprise data, analytics, and AI strategy. Oversees data platforms, pipelines, machine learning, MLOps, business intelligence, governance, privacy, and reporting supporting personalization, pricing, fraud prevention, forecasting, and executive decision-making. Builds and scales global teams, manages roadmaps, budgets, vendors, and operational excellence, and partners with executive, product, finance, marketing, and engineering leaders to deliver measurable business impact.