Top Artificial Intelligence Jobs

The Sr Director will lead AI Governance Strategy, providing research insights, actionable advice to clients, and fostering cross-functional collaboration.

The Principal AI/ML Engineer leads complex model development, optimizes data pipelines, engages stakeholders, and serves as a subject matter expert for machine learning initiatives.

Design, build, and maintain AI systems for automating enterprise Data Products with collaboration across various engineering teams.

Lead AI integration and automation for security operations, enhance incident response strategies, and mentor junior staff in a global setting.

The Senior AI Engineer will advance AI capabilities, drive outcomes, design AI systems, mentor team members, and contribute to hiring AI talent.

The AI Governance Lead will enhance the AI governance program, ensuring compliance and transparency while managing risks and collaborating across departments.

The role involves executing AI strategy and operations, managing AI platform/service rollout, conducting market research, supporting AI use case discovery, and ensuring governance.

Lead the AI adoption strategy across the company, manage initiatives, report to executives, and benchmark with industry trends to drive AI integration into business processes.

The Senior Manager, AI Strategy & Operations leads AI strategic planning and implementation across business areas, ensuring project execution, performance analysis, and governance. Responsibilities include identifying AI use cases, conducting ROI analysis, and maintaining vendor relations while driving innovation and operational efficiency.

The Full Stack Developer at Stewart is responsible for software development, program logic modification, project technical support, complex problem-solving, and process improvement recommendations, while communicating effectively with team members.

Design and develop AI-driven, cloud-native products for clients. Lead technical decisions and collaborate with teams to integrate AI models into applications.

The Artificial Intelligence Security Analyst assesses AI systems for security vulnerabilities, establishes testing frameworks, monitors assets, and collaborates with cybersecurity teams to ensure the secure deployment of AI technologies.

The AI/ML Engineer will design AI solutions, mentor team members, develop innovative solutions using ML algorithms, and support projects with big data technologies.

The Solutions Architect will collaborate with OEM partners to design enterprise-grade Generative AI solutions, optimize models for production, and support pre-sales activities. Responsibilities include leading workshops, training sessions, and contributing to generative AI software evolution.

Develop intelligent AI solutions for enterprise operations, design robust ML architectures, and mentor junior engineers. Collaborate with teams to deliver results.

NVIDIA seeks an AI/ML Solutions Architect to engage with hyperscale customers, optimize AI model deployment, and support large-scale infrastructure. Responsibilities include leading technical engagements, resolving customer challenges, and showcasing NVIDIA's capabilities.

The Solutions Architect will help customers integrate AI and simulation pipelines for robotics, engage in technical guidance, and drive adoption of NVIDIA technologies in industrial applications.

Lead the design and evolution of agentic systems for Chaos AI, optimizing LLMs in financial workflows, and mentoring engineers and data scientists.

The role involves managing AI developer tools, collaborating with customers, gathering insights, conducting market analysis, and defining strategies for product development and positioning.

This role leads the XR and AI robotics program for product launch, develops project schedules, mitigates risks, and partners with teams for efficient communication and automation.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

The role involves leading developer relations initiatives, creating technical content, engaging with the developer community, and executing enterprise-focused strategies for AI adoption.

The Principal Software Engineer will architect AI solutions, integrate software with hardware accelerators, lead technical projects, and mentor engineers within Red Hat's AI and Edge products team.

The AI Success Strategist is responsible for managing AI strategy and execution for customers, ensuring high satisfaction and adoption of Zendesk's AI-driven solutions, while aligning teams and driving measurable business impact.

The role involves developing and deploying generative AI solutions on Google Cloud, integrating diverse data, and creating insights from analytics. The engineer will work with large datasets and deploy AI/LLM solutions leveraging cloud-native technology, while effectively communicating technical concepts to various audiences.