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.

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.

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.

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.

Support the go-to-market team by cold calling HR and talent acquisition leaders, researching target accounts, creating outbound email and LinkedIn sequences, assisting with demand-generation campaigns and events, joining customer discovery calls and demos, and tracking results in the CRM. The intern will work directly with company leadership, receive hands-on B2B sales training, and may be considered for a full-time role based on performance.

Build and deploy production software for complex customer data, machine learning, and application environments. Own system design, deployments, integrations, backend services, APIs, data workflows, and product functionality end to end. Work directly with customers and engineering teams, debug production issues, create reusable tooling, communicate technical trade-offs, and feed deployment insights into product and engineering roadmaps.

Own end-to-end technical recruiting for engineering, AI, infrastructure, and forward-deployed roles. Build passive candidate pipelines, map technical talent markets, source and engage candidates, partner with engineering leaders, manage candidate processes, improve interview systems, track recruiting metrics, and enhance recruiting tools and processes as the company scales.

Support Axiom’s leadership and Founder’s Office on go-to-market strategy, market sizing, customer segmentation, strategic partnerships, board materials, metrics dashboards, and investor narratives. The intern will develop structured recommendations, build market models, prepare executive briefings, and present findings directly to senior leadership. The role requires analytical thinking, concise communication, autonomy, and comfort working at startup speed, with potential to convert to a full-time position.