Top Artificial Intelligence Jobs

Lead AI and automation initiatives in Real-World Data analysis, optimize processes using AI/ML, and drive project management efficiency.

As an AI Software Engineer-Reliability, you'll diagnose production issues using AI tools, improve workflows, and enhance system resilience across Ziosk's platform.

The Value Realization Advisor - AI will connect CX strategy and technology to deliver business outcomes, advising on AI-enabled transformations and supporting pre-sales engagements while facilitating executive workshops and strategic planning.

Lead the GenAI Labs team to implement AI applications in operational systems. Focus on improving delivery velocity and system reliability while fostering collaboration across engineering and product teams.

The role involves developing and maintaining web applications using .NET technologies, collaborating with cross-functional teams, optimizing applications, and mentoring junior developers.

The AI-Enabled Paralegal will draft and review legal documents, utilize AI for research and due diligence, and support attorneys in managing cases and files.

Lead the design and implementation of runtime systems for an AI accelerator, overseeing architecture, performance tuning, and team mentorship.

The Solutions Engineer partners with various teams to capture requirements, manage agile backlogs, design solutions, and enhance workflows through iterative improvements.

The Senior Engineering Manager leads an engineering team to build systems for AI development workflows, managing roadmap execution and fostering a culture of high engineering quality.

As the Head of AI, you'll lead product strategy for Glia's AI portfolio, focusing on automation and agent experiences in financial services. Responsibilities include guiding AI product development, partnering across departments, and establishing product evaluation mechanisms.

Design and deploy production-ready ML and AI systems using LangChain and PySpark. Integrate AI into workflows, evaluate prompts, and collaborate with cross-functional teams.

The Managing Consultant will lead analytics projects for clients in the energy sector, utilizing strong analytical skills and a deep understanding of data science to inform decision-making while mentoring junior staff.

The AI Tech Analyst Intern will develop features for AI data governance applications, integrate APIs, and support various projects while collaborating with senior consultants.

The AI Product Manager Intern will drive core product features from concept to delivery, automate workflows using AI, and define market requirements based on customer feedback.

The Solution Architect leads AI initiatives by designing the AI Landing Zone, ensuring security compliance, and guiding technical implementation for scalable platforms across various environments, while collaborating closely with teams and overseeing governance and architecture.

Lead the technical direction for AI applications at Nubank, focusing on LLM integrations, complex systems, and mentoring teams while driving engineering excellence and strategic decision-making.

The Senior Product Manager will lead the development of data products on an AI-first platform, focusing on implementation, scalability, and stakeholder communication while driving quality and performance improvements.

The role involves engineering performance and resilience in distributed systems, focusing on reliability, automation, and observability across retail environments.

The VP of AI Strategy leads the AI Center of Excellence, driving AI adoption and alignment with corporate goals while fostering innovation, overseeing initiatives, and collaborating across departments.

Design and implement AI and automation solutions for business processes in Operations. Collaborate with stakeholders to enhance efficiency and drive strategic goals through scalable technology solutions.

Lead design and delivery of end-to-end Data & AI solutions on Microsoft Azure. Architect AI/ML applications and scalable data platforms, implement data pipelines, integrate models with business workflows, provide technical leadership on projects, support presales, and promote reusable assets and best practices while staying current on emerging AI and Azure technologies.

The Business Development Manager will source and qualify business opportunities, manage a client pipeline, and engage with prospects to drive sales in AI and cloud solutions.

The role involves sourcing and qualifying new business opportunities, managing client pipelines, and engaging with prospects while traveling for meetings.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

The Senior Associate will design and deploy AI solutions, enhance analytics, and integrate them into business platforms, while managing stakeholders and ensuring data quality.