Top Artificial Intelligence Jobs

Lead strategy and execution for Brex's AI-powered customer experience across chat, voice, and email. Build and deploy internal AI tools (agent-assist, real-time guidance, QA automation), own AI performance metrics and roadmap, partner with Product and Engineering, manage a CX AI team, and drive cross-functional adoption to improve resolution, CSAT, and agent productivity.

Lead strategy and execution of AI-powered customer experience: own CX AI roadmap, optimize instruction sets and channel performance (chat/voice/email), build internal AI tools (agent-assist, real-time guidance, QA automation), measure adoption and impact, and partner with Product, Engineering, and Data to ship and iterate systems that improve customer outcomes and CX team productivity.

Lead strategy and execution of AI-powered customer experience, owning AI customer service platforms and internal AI tools. Manage a CX Strategy team, define AI performance metrics, partner with Product and Engineering, deploy agent-assist and QA automation, and measure adoption and impact to improve customer outcomes and team productivity.

Lead strategy and execution of AI-powered customer experience, owning customer-facing AI systems and internal AI productivity tools. Build, ship, and iterate AI solutions across chat, voice, and email; partner with Product and Engineering to measure and improve AI performance and drive CX outcomes.

Primary point-of-contact for a customer, providing on-site and remote HPC, Ethernet, and AI infrastructure support. Troubleshoot Linux systems, networking protocols, and interoperability; reproduce and resolve complex issues; collaborate with engineering, marketing, and support; document support methodologies and improve processes.

Design scalable, cloud-native AI/ML architectures on AWS, advise customers through AI/ML adoption, lead migrations and modernization, create thought leadership and enablement content, and collaborate with AWS partners and internal teams to deliver cost-optimized, resilient solutions.

Lead the end-to-end product lifecycle for AI-native cybersecurity offerings, defining multi-year AI strategy, translating LLM research into automated detection and response, and partnering cross-functionally to deliver agentic automation that reduces alert fatigue and drives measurable security outcomes.

Design, build, and deploy large-scale distributed AI/ML applications (IVR, voice, chat) including multi-agent systems and LLMs. Collaborate with product and data science, ensure reliability, scalability, monitoring, and bring research-driven innovations into production using cloud, containers, and IaC practices.

Work within the CEO's office to design and implement AI-powered workflows, transform unstructured information into actionable materials, prepare executive briefings, support cross-functional teams, build internal knowledge systems, and continuously identify and deploy AI solutions to eliminate repetitive work and increase productivity.

Build production-ready AI software using Claude Code, Codex, Gemini and similar tools; create videos, posts, threads, and playbooks; run customer workshops and hackathons; stay on the model/tooling frontier; and drive a repeatable build→content→workshop cadence that turns audience attention into customer engagements.

The AI Operations Lead will build internal systems, dashboards, and AI agents to automate workflows, enhance efficiency, and scale operations for Broccoli AI's growth.

Build and own production AI systems for legal workflows, including retrieval, document understanding, agentic LLM systems, evals, and data pipelines. Collaborate with engineers, lawyers, designers, and customers to translate legal judgment into reliable, usable product behavior.

The Operations Specialist ensures smooth operational delivery for partner medical practices, improving workflows and collaborating across functions to maintain data integrity and quality.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

The Project Analyst supports AI and data transformation projects, focusing on financial governance, reporting, and coordination of various teams to ensure timely delivery and budget compliance.

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

The role involves owning the full enterprise sales cycle, building relationships with financial sector executives, and identifying automation opportunities while partnering with product teams.

Lead large Applied AI portfolios, ensuring value delivery through advanced AI systems while managing risks and governance across multiple teams. Collaborate with senior leaders to align AI initiatives with business outcomes and oversee effective execution of AI strategies.

As a Senior Machine Learning Engineer, you'll design and develop infrastructure and models for AI-powered applications while collaborating with teams to enhance product functionality.

The Technical Product Marketer will create engaging content for Aikido's AI penetration testing product, craft narratives, drive go-to-market strategies, and execute marketing campaigns to boost visibility and adoption.

The Account Executive will own the full sales cycle for pentesting, build pipelines, drive early GTM execution, and engage with security leaders.

As an AI Product Manager, you will define product roadmaps, run engineering sprints, conduct user testing, and ensure team alignment while translating user pain points into product priorities.

The AI Engineer will develop AI/ML solutions for investment analysis, design applications, optimize models, and work with large datasets in healthcare and finance contexts.

The Director will lead the AI platform strategy, build and manage engineering teams, and implement AI solutions to enhance operations and revenue across the enterprise.

The Principal AI Agentic System Engineer will design and implement advanced AI systems to enhance operations, focusing on automation and predictive analytics. Responsibilities include architecting AI solutions, collaborating with teams, and ensuring system integration and governance.