Top Artificial Intelligence Jobs

The AI Governance Lead will develop and oversee Ascot's AI governance framework, ensuring compliance and ethical use of AI across various business areas, while coordinating with legal and risk departments.

The Applied AI Engineer will design, develop, and deploy AI solutions, integrating LLMs into business workflows, and ensuring reliability and maintainability of systems.

The Staff AI Engineer will develop and maintain backend services, support workflows, optimize performance, troubleshoot production issues, and collaborate on feature development.

Lead design and development of AI Agentic Platform. Collaborate with teams to enhance AI-driven retail experiences and streamline operations. Mentor engineers, architect scalable systems, and influence technical strategy.

The role focuses on leading technical architecture for hybrid and cloud platforms, ensuring resiliency and cost efficiency, and driving AI adoption and modernization strategies.

The Associate, Product Management oversees system enhancements, analyzes usage, gathers requirements, collaborates with stakeholders, and assists with project goals and quality initiatives.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

The Senior VP of IT for Enterprise Data and AI will define product vision, build scalable data platforms, enable analytics, and lead teams while ensuring data governance and operational excellence.

Oversee the end-to-end operation and governance of an AI platform, ensuring alignment with enterprise architecture and compliance regulations.

The AI & Machine Learning Director will lead client engagements, analyze corporate performance, and drive improvements in profitability through machine learning and data analysis, while also managing business development and team collaboration.

The Senior Vice President will lead projects focused on corporate performance, drive revenue growth, and develop business strategies while utilizing data modeling and machine learning techniques for analysis and solutions.

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

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.

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 role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.

The Senior AI Red Team Analyst executes red team operations, simulates adversary behavior, collaborates on security exercises, and contributes to defensive strategies against modern attack scenarios.

Lead the AI Evaluation module for Harness, defining vision and strategy, managing P&L, and enhancing AI application validation and performance in production.

As an AI Product Manager, you will lead the strategy and execution of AI-powered capabilities, transforming data into actionable insights and enhancing decision-making processes.

The Jr. AI Engineer develops and supports software systems using AI tools, ensuring quality and compliance while collaborating with senior engineers.

Manage strategic customer relationships for AI platform, support onboarding and deployment, facilitate communication between stakeholders, and monitor account health.

The Software Engineer will design and develop scalable AI-driven solutions, focusing on Agentic AI systems and collaborating in an Agile environment.

Lead the design and development of scalable AI platforms, collaborate with teams to deliver AI solutions, and mentor AI engineers. Focus on machine learning, generative AI, data architectures, and ensuring compliance with security and governance standards.

The Head of Corporate Finance, Data & AI defines strategy and leads initiatives to integrate data, analytics, and AI into Finance, aiming to enhance decision-making and efficiency.

This role involves leading advanced analytics, mentoring junior data scientists, and presenting insights to support data-driven decisions.

Seeking a Senior Product Manager to drive product initiatives in sportsbook, focusing on AI, social betting, and customer engagement. Responsibilities include defining success criteria, leading cross-functional collaboration, and executing market strategies.