Top Artificial Intelligence Jobs

Develop and close strategic mid-market and enterprise business for Build.io in the US. Own the full sales cycle, including prospecting, discovery, technical evaluation, negotiation, procurement, and closing. Build relationships with technical and executive stakeholders, manage pipeline and forecasting, drive account expansion, and help shape the company’s enterprise go-to-market strategy.

Lead system architecture and integration for an ocean-deployed floating data center platform, define interfaces and requirements, run test and qualification campaigns, manage vendor procurement for major subsystems, and translate customer data center needs into platform-level specifications.

Own post-implementation relationships with employer, broker, consultant, TPA, and healthcare partners. Lead business reviews, coordinate cross-functional initiatives, resolve issues, drive engagement, retention, and account growth while collaborating with Sales, Clinical, Product, and Operations.

Own end-to-end delivery of AI data projects, including scoping, planning, budgeting, scheduling, execution, risk management, and quality control. Serve as the primary liaison among clients, suppliers, and internal teams while managing annotated datasets and project outputs. Improve workflows, reduce costs, resolve issues, and develop scalable solution frameworks. The role requires strong communication, organizational, client-management, and cross-functional collaboration skills in a global environment.

Lead brand and marketing design across the website, launch materials, decks, social, and campaigns while expanding into end-to-end product design. Develop reusable components and visual standards spanning product and brand, and use AI tools for rapid prototyping. Collaborate closely with product, engineering, founders, and marketing to solve ambiguous problems, improve user experiences, and maintain high visual and UX quality.

Drive net-new enterprise SaaS business by selling workplace AI and spatial intelligence solutions to C-level and corporate real estate leaders. Own consultative discovery, multi-stakeholder solution development, outcome-based proposals, technical validation, contract negotiations, forecasting, and land-and-expand strategies. Translate spatial and financial data into executive-level business cases and manage complex six- and seven-figure enterprise sales cycles.

Coordinate software engineering planning, tracking, and delivery in a remote asynchronous environment. Maintain Linear as the source of truth, run planning meetings, surface blockers, document progress, and publish daily updates. Translate engineering discussions into architecture diagrams and build AI-powered workflows, prompts, and skills that reduce project management overhead. The role requires strong software delivery knowledge, clear communication, and the ability to manage dependencies, priorities, and scope.

Research and develop world models that perceive, simulate, and forecast changes in properties and infrastructure. Design representation-learning and predictive-modeling approaches using aerial and satellite imagery, property records, and other signals. Build rigorous evaluations, run large-scale cloud GPU experiments, document findings, and transition successful research into production capabilities. The role requires deep learning expertise, empirical rigor, strong ownership, and collaboration with AI and engineering teams.

Build and maintain hardware and software hybrid simulators and automation for configuring, deploying, and testing complex systems in CI environments. Develop testing and simulation capabilities, troubleshoot hardware-software integration issues, and physically configure and test hardware on premises. Collaborate across engineering teams while working with Windows, Linux, containers, CI/CD toolchains, communication protocols, and real-time distributed middleware.

Leads development of next-generation AI accelerator chips from architecture and RTL through tapeout, silicon bring-up, qualification, and production. Oversees hardware engineering teams, ASIC program execution, technical tradeoffs, design reviews, external semiconductor partners, and hardware/software co-design. Collaborates with architecture, software, systems, product, and executive teams while managing risks, milestones, manufacturing considerations, and organizational growth.