Top Artificial Intelligence Jobs

The Account Executive will drive new business, develop sales pipelines, build customer relationships, and improve sales effectiveness in a fast-paced startup.

As an Account Executive, you will lead and negotiate sales, build relationships with customers, and support sales targets in a fast-paced startup environment.

The Software Engineer will develop AI-driven applications, ensure system reliability and security, and collaborate in a Lean Agile environment to deliver innovative solutions.

Lead AI strategy and implementation, design AI systems, oversee model development, ensure ethical AI practices, and provide technical direction to teams.

The Head of AI will lead AI initiatives, define strategy, and directly contribute to system design while ensuring compliance and responsible AI practices. Responsibilities include technical leadership, team building, and driving AI adoption across the organization.

In this role, the facilitator will enhance educators' understanding of AI in research through engaging workshops, both virtually and occasionally in-person, and support their professional learning.

As a Solution Engineer at Snowflake, you'll solve complex customer challenges, demonstrate product value, and collaborate with sales teams to close deals. Requires extensive technical expertise and strong communication skills.

The Executive Director leads AI initiatives in Market Access, drives innovation, enhances decision-making, and optimizes operational efficiencies within pharmaceutical pricing strategies.

The Principal AI Software Engineer leads the design and implementation of Natera's Enterprise AI Platform, focusing on low-code solutions, workflow orchestration, and AI capabilities. Responsibilities include architecture design, integration with enterprise systems, and ensuring compliance with governance and security protocols, as well as mentoring engineers.

The Principal AI/ML Platform Engineer leads the development and delivery of ML and GenAI platforms, ensuring scalability, compliance, and performance across various workflows and products, while mentoring the engineering team.

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

The Staff AI Engineer will enhance you.com's AI capabilities, focusing on developing AI infrastructure, leading projects, and mentoring the team.

This role involves developing and integrating AI/ML models within GCP using Python, optimizing LLM performance, and applying MLOps practices. Strong collaboration with architects is required for implementation and analysis of workflows.

The Staff Software Engineer will build and manage machine learning infrastructure focusing on LLMs, oversee DevOps processes, lead technical teams, and collaborate across functions.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

The Staff Engineer leads engineering teams to develop high-quality enterprise-class applications, mentoring junior members and ensuring the usability and performance of solutions.

The AI Product Manager will lead the design and implementation of AI-driven workflows for enterprise customers, ensuring successful adoption and value delivery through effective collaboration and communication.

Lead and scale digital, automation, and AI capabilities across engineering and consulting. Establish strategy, streamline operations, and ensure measurable results while modernizing delivery and enhancing client differentiation.

The Product Designer will drive product design, engage in user research, create design deliverables, and collaborate closely with teams to shape innovative enterprise products.

Design and implement generative AI systems, mentor engineers, collaborate across teams, and stay abreast of AI advancements while aligning with company goals.

Develop and optimize ML compilers for high-performance deep learning applications, collaborating with hardware engineers to enhance performance and efficiency while minimizing energy consumption.

The AI Enablement Consultant will assist associations and nonprofits in implementing AI and automation solutions, focusing on Microsoft 365 Copilot and workflow automation, while managing client relationships and change processes.

The AI Engineer will design, build, and deploy generative AI solutions, collaborating with teams, optimizing performance, and conducting research on emerging AI technologies.

Responsible for defining and executing AI and data product vision for a Legal ERP platform, ensuring alignment with customer needs and cloud strategy.