Top Artificial Intelligence Jobs

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

Drive advanced modeling and analytics for fraud detection and identity theft. Lead technical initiatives and manage full model lifecycle.

The Senior CX/UX Researcher will lead user research initiatives to inform product design and improve user experience for tax and accounting workflows, utilizing AI technology and presenting findings to stakeholders.

The Senior CX/UX Researcher will lead and execute complex user research studies, presenting insights to drive product strategy and improving user experience within tax and accounting workflows.

The Senior Director Analyst will create insights on AI in HR, guide clients, analyze trends, and support sales with compelling research and presentation materials.

The Senior Manager will lead the AI Capability & Enablement function, focusing on strategy execution, stakeholder alignment, and optimizing AI usage across the organization.

Lead strategy and execution for Copilot backend services, building AI orchestration, RAG pipelines, and context-aware agents that proactively assist customers across Console, SMS, and Slack while ensuring performance, reliability, and data privacy.

The AI Product Engineer develops platforms and tooling for AI agents, focusing on enhancing capabilities and collaborating with product managers to deliver impactful solutions.

Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.

The Applied AI Analyst uses AI to solve business problems by designing workflows, optimizing processes, and generating insights to drive efficiency and decision-making across teams.

The AI/ML Software Developer will design, develop, and maintain AI applications, collaborate with teams, solve problems, and manage software debugging and documentation tasks.

The Supply Chain and AI Innovation Analyst will design and implement analytics and AI solutions to improve operational efficiency and decision-making across the company, collaborating with various departments to enhance data visibility and system integration.

The Senior Data & AI Developer will build AI tools, maintain analytics dashboards, and oversee data architecture, ensuring effective data use across the firm.

The Staff AI Engineer will lead backend architecture for AI/ML features in payments, focus on LLMs, collaborate with teams, and enhance payment experiences.

The Manager of AI Strategy & Adoption will lead Evidence Action's AI efforts, managing the AI roadmap, external partnerships, and promoting AI use across teams. Responsibilities include advising leadership, overseeing AI pilots, and monitoring adoption metrics.

As a Specialized Account Executive, you will drive sales of Workday's AI Talent Suite, overseeing complex sales cycles, collaborating with account executives, and articulating a holistic talent strategy to clients, focusing on integrating AI into hiring processes.

The Director of Program Management leads finance modernization initiatives through automation and AI, managing cross-functional programs to enhance efficiency and decision-making in finance operations.

The AI Engineer will develop AI-enabled features, design scalable application capabilities, integrate coaching insights, build data pipelines, and mentor the team in AI best practices.

The Staff Salesforce Technical Architect will design scalable Salesforce solutions, lead integrations, establish best practices, optimize performance, and collaborate with stakeholders for the Go-To-Market teams.

The AI Infrastructure Engineer designs and builds infrastructure for AI and ML models across various environments, optimizing performance and reliability.

The Director of Data Science will lead analytics and AI initiatives, define data science strategy, and build a high-performing team while partnering with GTM leadership to drive data-informed decisions.

Design, develop, and operationalize intelligent automation and AI capabilities in IT operations, improve service delivery, and mentor teams.

The Director of AI Empowerment will lead initiatives to drive adoption of AI and GenAI tools across Zelis, enhance productivity, and ensure alignment with business outcomes through training, evaluation of emerging technologies, and collaboration with executive leadership.

The VP, AI Innovation & Enablement Leader will drive AI technology adoption, develop reusable patterns for engineering teams, and enhance enterprise AI capabilities.

The VP of AI Platform Engineering is responsible for building and operating LPL Financial's enterprise AI platform, ensuring reliability, safety, scalability, and governance of AI systems at scale.