Top Artificial Intelligence Jobs

Own corporate IT operations and security: onboarding/offboarding, device and endpoint management, identity and access, networking, SaaS administration, vulnerability management, incident response, and GRC/compliance programs while scaling processes and tooling.

Lead the design, development, and maintenance of a distributed multi-physics well-targeting engine. Build resilient event-driven architectures, orchestration systems, scalable cloud workloads, persistent storage, and observability solutions. Collaborate with geophysicists, geoscientists, seismologists, and engineers while helping scale and improve system reliability. Mentor teammates and contribute to software engineering best practices, infrastructure, and cloud resource management.

Sources senior technical talent across software, hardware, product, AI, and G&A functions. Partners with recruiters and hiring managers to develop sourcing strategies, build diverse pipelines, engage passive candidates, analyze sourcing metrics, advise on talent markets, and improve recruiting processes using sourcing tools and AI-enabled technology. The role supports multiple searches in a remote, fast-paced environment while maintaining a strong candidate experience.

Own onboarding and offboarding, optimize Rippling and related HR systems, administer benefits and employment changes across US, Portugal, and Canada, and manage compliance, immigration, and work authorization processes. Support performance reviews, leveling, recognition, and other people programs while building scalable, AI-enabled workflows and documentation. Partner across teams and help expand manager support and HRBP capabilities as the company grows.

Lead Lambda’s Detection and Response function by building and managing a high-performing team, defining threat management and incident response frameworks, expanding automation and threat hunting, and ensuring 24/7 operational coverage. The role partners with engineering and executives, drives security tooling and AI-powered detection initiatives, establishes roadmaps and metrics, and leads blameless post-incident improvements across cloud and bare-metal infrastructure.

Build and maintain full-stack Ruby on Rails and React applications for defense and logistics operations. Responsibilities include designing APIs and data models, developing multi-source ingestion pipelines, creating data visualizations, deploying services on Kubernetes, implementing observability and security, optimizing disconnected-environment performance, and collaborating with product and design teams. The role also involves architecture discussions, technical documentation, testing, code reviews, and integration with secure DoD systems.

Coordinates patient-specific implant purchase orders, tracking, documentation, issue resolution, and process improvements. Manages facility maintenance, vendors, workplace supplies, workspace changes, and routine facility projects. Provides backup support for image acquisition by requesting, retrieving, uploading, and tracking patient imaging while protecting patient information. Collaborates with Manufacturing, Supply Chain, Finance, Image Acquisition, vendors, and other internal teams.

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

Design and scale platform infrastructure, backend services, developer tooling, CI/CD pipelines, and secure cloud-native systems. Improve developer experience, reliability, observability, and incident response while establishing security and compliance controls. Partner with engineering and product leaders to shape architecture and platform strategy, mentor engineers, and support customer-facing logistics projects. The role uses Python, AWS, Terraform, containers, orchestration, event-driven architectures, and relational databases.

Own the full post-sale deployment lifecycle for new SaaS customers, including kickoff calls, project planning, stakeholder communication, troubleshooting, user training, adoption, risk management, and handoff to Customer Success. The role requires independently managing concurrent implementations, meeting go-live deadlines, translating technical details for stakeholders, and providing product feedback based on deployment patterns.