Top Artificial Intelligence Jobs

The role involves building .NET services integrated with Azure OpenAI, designing AI workflows, developing observability metrics, and mentoring teammates.

The Senior Manager oversees AI vulnerability management, ensuring secure AI operations, managing risks, conducting assessments, and collaborating with engineering teams.

Lead the design and development of Generative AI applications, ensuring reliability and scalability, while collaborating with cross-functional teams and maintaining high-quality data for AI solutions.

The role involves reviewing and optimizing business processes for software implementation in banking, identifying AI automation opportunities, collaborating with teams, and defining success metrics.

Lead the vision and execution for enterprise AI platforms, defining autonomy in AI agents, collaborating across teams, and driving product strategy and delivery.

As a Director, Tech Lead for the AI Platform, you'll define technical architecture, guide platform development, and mentor a team while leading AI integration solutions.

The Program Manager will oversee program operations of the GenAI serving stack, ensuring smooth execution of initiatives and enhancing engineering collaboration while managing complex workflows.

The AI Adoption Program Manager drives AI enablement and adoption across the enterprise, defining KPIs, managing AI tools, ensuring compliance, and fostering a culture of learning.

The AI Adoption Program Manager leads AI initiatives, tracks adoption KPIs, manages AI tooling, and ensures compliance and risk management in AI practices.

The AI Adoption Program Manager drives enterprise-wide AI enablement and adoption, defines KPIs, oversees tooling management, engages stakeholders, and ensures responsible AI practices. They support cross-functional teams and promote AI literacy.

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

The AI Forward Deployed Engineer designs and implements AI solutions, collaborating with stakeholders, enhancing reliability, and producing reusable resources. Responsibilities include diagnosing AI solution issues and engaging with finance and data teams.

Drive adoption and understanding of NVIDIA's AI models through technical marketing, creating content, and engaging with developers and customers.

The role involves advising customers on AI solutions, collaborating on projects, and implementing scalable systems for data processing with a focus on generative AI.

The role involves leading the definition of AI SDLC practices, designing AI-driven solutions, and mentoring teams while collaborating across departments for scalable software solutions.

As a Data Engineering Analyst, you will design and develop cloud-native data solutions, collaborate with teams, and contribute to AI models and analytics.

The AI Software Engineer will develop AI applications, maintain AI infrastructure, integrate AI into products, and work with various teams to enhance productivity using AI tools.

Lead the product vision and execution for AI Solutions at Snowflake, managing the end-to-end product lifecycle while collaborating with customers and engineering teams to deliver innovative solutions.

Lead AI strategy and transformation in Global Marketing, identify and scale AI use cases, and ensure responsible AI use while fostering an AI-native marketing culture. Collaborate with senior leaders and teams to drive measurable impact and innovation in marketing processes.

Lead the development and deployment of AI solutions in semiconductor manufacturing, guiding teams, optimizing models, and collaborating across functions while mentoring junior members.

Manage a team responsible for testing and validating new products in HPC and AI, ensuring deliverables align with industry standards. Lead project coordination, resource allocation, and process improvements while fostering team development and engagement.

The Presales HPC&AI Solutions Architect will lead technical engagements, architect solutions for HPC/AI infrastructure, and collaborate with stakeholders to achieve customer outcomes.

The Solutions Architect will guide cloud partners in adopting architectures for optimal performance, reliability, and security, create training materials, and facilitate collaboration to improve partner success.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.