Top Artificial Intelligence Jobs

The AI Catalyst will define and implement AI solutions across Corporate DT, promoting innovation and ensuring adoption while managing change. They will lead data architecture and AI governance, facilitate cross-functional collaboration, and ensure compliance with regulatory standards.

As a Forward Deployed AI Engineer, you will implement AI solutions for complex customer needs, ensuring successful deployment and customer success by acting as a technical bridge between the company and clients.

Lead the evolution of Service Desk and digital operations using AI and automation. Design intelligent workflows, manage platforms, and drive adoption while ensuring user satisfaction and operational improvements.

Lead the Go-To-Market strategy for AI solutions, engage with customers, and partner with sales operations, product, and engineering teams to drive adoption and revenue outcomes.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

The Marketing Ops AI Manager designs and optimizes AI systems to enhance marketing operations efficiency, data quality, and campaign performance. Responsibilities include developing AI strategies, managing workflows, and training teams on AI applications.

As a Software Engineer on the AI Gateway Team, you will design and implement distributed systems for secure application connections, optimizing traffic routing and policy enforcement with a focus on scalability and developer experience.

The AI Engineer will shape AI strategy by prototyping solutions, collaborating with cross-functional teams, and optimizing ML models for business benefits.

As a Ruby AI Tutor, you will review Ruby code for safety and correctness, solve system-level problems, and summarize decision-making processes.

As a DevOps Infrastructure as Code Engineer, you design and maintain cloud infrastructure, automate processes, and monitor performance for AI applications.

Lead technical expert for Gcore's compute and GPU products, support sales through solution design, and manage enterprise accounts. Act as a technical account manager and represent Gcore at industry events.

The Senior AI Software Engineer will design and implement AI systems in Palantir Foundry, enhancing healthcare financial operations and developing tools for revenue cycle management.

The AI Outcomes Manager engages with clients, enhancing Glean's product use, conducting workshops, and shaping the product roadmap based on user feedback.

As a Principal AI Engineer, you will design and optimize scalable AI systems, mentor teams, and collaborate on cybersecurity solutions.

Develop and teach an AI Leadership course for professionals, creating engaging video content and optimizing learner engagement across diverse fields.

The Agentic AI Lead will oversee the integration of AI tools into business processes, drive technical transformations, and support culture change within Tilt.

The Senior AI Information Security Analyst will develop AI compliance strategies, manage audits, advance policy development, and mentor team members while ensuring AI safety and security adherence across the organization.

Lead the design and implementation of AI systems for residential construction. Develop LLM-powered applications, mentor engineers, and ensure production reliability.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

Lead the development and implementation of AI and ML solutions, transforming prototypes into scalable products while managing a team of specialists and driving technical strategy.

The Enterprise AI Sales Executive will drive sales, qualify leads, and build client relationships by selling GPU-based AI solutions to enterprise clients, focusing on closing deals and exceeding sales targets.

The AI Product Manager will define the vision for an AI platform, collaborate with teams, track success metrics, oversee development, and establish standards for AI governance.

The Channel Sales Manager will lead partner acquisition and enablement, drive customer engagement, and achieve revenue growth for AI/HPC networking solutions.