Top Artificial Intelligence Jobs

Build and maintain developer tooling, cloud infrastructure, data platforms, CI/CD pipelines, observability, and production ML infrastructure. Manage AWS, EKS, Terraform, Snowflake, dbt, and Prefect environments; improve deployment reliability, data quality, model serving, and cloud cost efficiency. Collaborate closely with backend engineers, data scientists, analysts, and product managers while researching and rolling out improvements across the company.

Build and refine front-end experiences for web and mobile: onboarding, checkout, gallery features, design system and enterprise dashboard. Collaborate closely with designers and PMs, ship fast, maintain aesthetic quality, and iterate with user feedback using React, Next.js and TypeScript.

Work directly with clients to understand CRM, DMS, POS, and EHR data flows; establish recurring sales data feeds; validate data quality; match leads to closed deals; and quantify marketing ROI. Perform ad hoc SQL analysis on imperfect data, communicate findings to technical and nontechnical stakeholders, and develop repeatable onboarding and data validation practices across client systems.

Lead UAV flight-test campaigns from simulation through field deployment. Coordinate software, hardware, personnel, vehicles, ranges, and authorities; develop and approve flight-test plans, hazard analyses, test cards, and reports; maintain fleet readiness; establish telemetry and data pipelines; and investigate anomalies or structural failures. The role requires substantial field presence, FAA compliance coordination, hands-on UAV testing, and familiarity with Linux, flight software, instrumentation, telemetry, and data analysis.

Own the systems, data, forecasting, and processes powering the SaaS go-to-market engine. Responsibilities include optimizing HubSpot and the broader revenue technology stack, improving attribution and data quality, managing PLG-to-sales-assist funnels, developing forecasts and scenario models, automating lead-to-cash and renewal workflows, building dashboards, supporting pricing and packaging tests, and aligning Marketing, Sales, Customer Success, Product, Payments, and Finance around revenue growth.

Design, build, and maintain high-traffic production LLM serving systems. Optimize throughput, latency, and cost for open-source language models by tuning inference engines and GPU execution stacks. Troubleshoot and improve inference performance, and collaborate to scale efficient, reliable inference infrastructure.

Own the full net-new B2B sales cycle, from prospecting and discovery through demos, pilots, negotiations, and closing. Build target account lists, manage pipeline and forecasting in HubSpot, develop relationships across gaming and hospitality markets, attend industry events, and visit Las Vegas properties. Partner with leadership and technical teams to refine messaging, ICP, pricing, qualification, sales stages, and the broader go-to-market playbook. Provide market intelligence and eventually help recruit and develop the sales team.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop scalable solutions, oversee high-quality consulting delivery, build long-term client relationships, generate new business, and manage cross-functional engagement teams and multimillion-dollar client portfolios.

Serves as the endpoint security subject-matter expert for support, Sales Engineering, and Customer Success. Diagnoses complex Windows and macOS endpoint issues, analyzes telemetry and logs, troubleshoots integrations with EDR, DLP, and MDM products, and provides prioritized customer recommendations. Partners with Engineering and QA on defect investigation and validation, maintains lab capabilities, and creates runbooks and documentation. The role also enables field teams to explain endpoint findings and improve customer outcomes.

Owns the technical delivery of customer SaaS implementations from requirements discovery and solution design through planning, coordination, and launch. Partners with customers, Customer Success, Product, Engineering, and QA to translate business needs into technical specifications, implementation plans, project tickets, timelines, and milestones. Manages dependencies, risks, scope changes, stakeholder communication, and customer technical guidance throughout implementation.