Top Artificial Intelligence Jobs

The Director of Site Operations leads the build-out of AI infrastructure, conducting site evaluations, managing retrofitting projects, and ensuring compliance with technical specifications. They collaborate with contractors and building operators to integrate AI capabilities into commercial properties.

The Applied AI Engineer will design and build LLM-driven AI systems for recruiting, manage end-to-end system ownership, collaborate across teams, and establish evaluation frameworks for performance and reliability.

The role involves designing and executing Ramp's AI partnerships strategy, collaborating with AI-native companies, and driving product and engineering alignment to enhance Ramp's offerings.

The Senior Product Designer will enhance the AI Manager experience by designing intuitive workflows, collaborating with cross-functional teams, and advocating for user trust and clarity in AI systems.

Lead research and architectural direction for AI systems communication at scale, conducting original research, optimizing hardware-software performance, and mentoring engineers.

The AI Compiler Engineer will innovate in AI performance, optimize compiler processes, and collaborate on hardware/software co-design, advancing AI technologies for datacenter applications.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

The Senior Director will lead data services and AI initiatives, overseeing strategy, data platforms, team leadership, compliance, and analytics.

As an AI/ML Engineer, you will oversee the LLM pipeline, including retrieval, fine-tuning, and deployment. Responsibilities include building RAG systems, optimizing architecture, and collaborating on AI strategy.

The Senior AI Engineer will design and build autonomous AI agents for mental health applications, focusing on LLM integration and reinforcement learning techniques for user interactions.

As a Staff Engineer on the AI team, you'll design and build core cognitive architectures, focusing on high-performance AI systems and ensuring reliability while addressing complex problems.

The Senior Scientist in AI Applications will develop AI/ML solutions in oncology, focusing on multimodal reasoning and agent architectures to enhance drug discovery and clinical trials.

The Head of AI-First Development will lead the re-architecture of Citi's product development lifecycle, making AI the default in processes from requirements to deployment, while managing the developer experience and productivity across the organization.

As a Principal AI Engineer, you will lead the development of the AI infrastructure at Exactera, focusing on building complex knowledge graphs, hybrid retrieval systems, and compliance-grade AI solutions for tax advisory applications.

The Applied AI Engineer will develop AI systems to enhance cyber capabilities, manage datasets, fine-tune models, and integrate AI into applications, focusing on national security.

Design and implement AI agents for mission planning and orchestration across autonomous systems, focusing on LLM frameworks and edge computing.

The AI Systems Engineer will design and develop a core ML stack, solve technical challenges across verticals, ensure code quality, and lead the team in building impactful AI systems.

The Solutions Engineer will support AI startups by providing technical guidance, onboarding, and creating reusable content while leading workshops and troubleshooting integrations.

As Principal AI Platform Engineer, you will own the technical vision for the AI platform, defining architecture, scaling systems, and driving cross-division alignment in AI development.

Lead the integration of AI and digital solutions in manufacturing processes, driving adoption and measurable impact on efficiency, quality, and performance.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The AI Product Engineer will design and launch AI-driven products for government agencies, collaborating with various teams to streamline services and improve usability.

The Principal leads AI platform initiatives, driving strategy and technical execution. This role includes product management, cross-functional program leadership, and governance in AI adoption across the organization.

The Lead Product Engineer will design and deploy enterprise applications, drive Azure migrations, and collaborate with cross-functional teams in an AI-driven environment, mentoring junior engineers and implementing best practices.

The AI Robotics Research Intern will focus on dexterous manipulation, utilizing large-scale data to improve robotic behaviors through human interaction insights. Responsibilities include developing scalable frameworks, processing data, and optimizing robotic policies for physical deployment.