Top Artificial Intelligence Jobs

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

Develop a deep-learning compiler stack that converts neural network descriptions into optimized code for embedded and special-purpose platforms. Implement and optimize NN operations, use LLVM/MLIR, benchmark on DSPs/accelerators, devise multiprocessor partitioning/scheduling, validate runtimes, and collaborate with hardware designers and partners.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

The Solutions Architect will serve as a technical advisor, guiding customers through the integration and deployment of AI technology, with a focus on developing scalable architectures and ensuring successful adoption of Claude systems.

As a Solutions Architect, you will advise government agencies on integrating LLM solutions, guiding them through the adoption process and ensuring technical alignment with business goals.

Serve as the global go-to-market owner for Tenable AI Exposure: define positioning and messaging, influence product roadmap with customer insights, lead product launches, create sales and marketing assets, enable demand generation and sales, engage practitioner and enterprise communities, and collaborate cross-functionally to drive adoption and growth.

Lead a team of Growth Account Executives to drive revenue growth and retention with startup customers, establish processes, and mentor team members.

Support AI capability and adoption through prompt engineering, structured experimentation, testing custom GPTs, documenting prompt libraries and exemplars, coaching users, prototyping lightweight AI workflows, and contributing enablement materials.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

Lead day-to-day AI capability and enablement: translate AI strategy into coaching, triage, experimentation, and scalable guidance. Provide hands-on AI coaching and experimentation, manage intake and routing workflows, capture recurring patterns into reusable artifacts, coordinate cross-functional stakeholders, run enablement initiatives, and track adoption and performance metrics to improve AI usage across the firm.

The Azure Cloud Engineer will design, implement, and maintain Azure solutions, govern AI platforms, and manage infrastructure automation and deployment workflows. Responsibilities include over-seeing cloud architecture, building CI/CD pipelines, and ensuring compliance with security standards while mentoring teammates in cloud infrastructure best practices.

Lead system-level architecture and detailed design of ultra-low-power analog and digital AI accelerators. Translate product requirements into block-level specs, explore novel intelligence representations, develop system models with Synopsys Platform Architect, inform RTL and verification, and collaborate across compute IP, firmware, physical design, and partners while providing technical leadership and mentorship.

Provide legal support for privacy and AI governance: draft and negotiate privacy/AI-related contracts, lead Privacy by Design and impact assessments, develop governance policies and playbooks, manage cookie compliance, RoPAs, and DSARs, advise product and engineering on risk mitigation, respond to customer privacy/AI inquiries, monitor global privacy and AI regulations, and engage with regulators and works councils as needed.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The Level 3 Support Analyst - AI Specialist resolves complex technical issues for customers, focusing on AI solutions, troubleshooting, and collaborating with multiple teams. Responsibilities include investigating issues, mentoring junior staff, and providing 24/7 emergency support.

Design and deploy AI capabilities for U.S. federal agencies, focusing on integrating AI models with government systems, and ensuring ethical standards.

The role involves building deployment tools for classified environments, maintaining documentation, and developing CI/CD pipelines, requiring extensive experience in programming and cloud technologies.

The role involves developing cloud-native applications and AI features for data governance using Azure and Microsoft 365, focusing on security and compliance in regulated environments.

The AI Engineer will develop deployment tools, maintain documentation, build CI/CD pipelines, and integrate systems for classified operations.

The AI Software Engineer will design and develop AI/ML models, training and fine-tuning them for engineering applications, collaborating with engineers to streamline operations and enhance software development at SpaceX.

Design and implement AI capabilities for federal agencies, focusing on scalable systems and API integrations while ensuring safety and ethics.

As a Senior/Lead Backend Engineer, you'll design scalable backend systems and data pipelines for AI capabilities, ensuring data quality and system reliability while mentoring peers.

Lead requirements discovery and solution evaluation for AI products: run structured elicitation, produce requirements artifacts, design validation activities, evaluate vendors and pilots, manage product portfolio through evaluation/planning, ensure implementation fidelity, create SOPs and templates, and partner cross-functionally to align scope, budget, and adoption.

Lead end-to-end delivery of high-impact AI Platform and Data Systems programs: define scope, plan milestones, track dependencies, manage risks, align executives, use AI to automate program workflows, and drive continuous improvement across cross-functional engineering teams.

The AI & Automation Solution Architect will lead the deployment of AI and automation solutions, enhance business unit efficiency, and develop strategic initiatives for technology adoption.