Top Artificial Intelligence Jobs

The Senior AI ML Engineer will design and implement AI/ML systems for healthcare, manage projects from ideation to release, and mentor engineers. Responsibilities include delivering quality code, driving architectural decisions, and collaborating with cross-functional teams.

The Principal AI Architect will lead the design and implementation of AI-driven conversational systems, enhancing consumer engagement across various platforms. Responsibilities include architecture design, bot orchestration, context handling, and collaboration with product and engineering teams to develop scalable voice solutions.

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

Lead AI strategy and emerging systems within Micron by evaluating innovative AI capabilities, architecting solutions, prototyping systems, and overseeing AI governance and value assessments.

The role involves leveraging AI in Product Engineering, driving initiatives, creating AI solutions, mentoring teams, and developing business cases.

The AI/ML Engineer will design, develop, and deploy machine learning algorithms and large language models while collaborating with stakeholders to meet business needs.

Lead commercial growth for AI applications and data connectivity in precision medicine. Close strategic partnerships with biopharma and academic medical centers, expand real-time EHR and device integrations, scale AI diagnostic deployment, build and manage a 20-FTE commercial and connectivity organization, and implement repeatable pipeline and forecasting systems.

The Lead Product Designer will set design direction, collaborate with cross-functional teams, drive user experiences, and mentor team members for impactful design solutions.

As a Generative AI Product Manager, you'll prototype AI solutions, deploy workflows, drive AI adoption, and shape governance standards across the organization.

As an AI Engineer, you will architect AI systems for legal work, lead technical initiatives, and mentor a team while impacting the future of legal technology.

As Lead Auditor for Data and AI at MetLife, you'll assess risks, lead audits, identify issues, and communicate findings on innovative initiatives.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

Design and implement AI models for robotic manufacturing, develop simulation tools, and ensure model transfer from simulation to reality while optimizing ML models in production.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

The Staff Forward Deployed Engineer drives AI adoption for strategic customers by solving complex cloud infrastructure challenges, developing scalable assets, and influencing product roadmaps through collaboration and technical expertise.

The Staff Forward Deployed Engineer will work with AI-Native customers to solve cloud infrastructure challenges, build scalable tools, optimize AI workloads, and influence product development by embedding with clients and establishing best practices.

Develop and maintain AI/ML applications, focusing on agent-based workflows, API integration, and enterprise deployment, requiring senior-level experience.

Lead discovery and delivery of AI-first AEC product capabilities. Define roadmap, prototype agentic LLM workflows, translate research into requirements, measure outcomes, and partner with UX, Engineering, and GTM to drive adoption and growth.

The AI/ML Engineer will develop and maintain AI/ML applications, design workflows, optimize performance, and manage data processing with a focus on LLM integration and retrieval-based capabilities.

The Staff Applied AI Engineer will develop decision intelligence systems using machine learning and optimization, focusing on improving planning decisions and operational efficiency. Responsibilities include building models for revenue attribution, designing decision-support systems, and ensuring security in AI-driven capabilities.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The role involves designing and operating real-time AI systems for sports analysis, integrating various data signals under tight constraints and mentoring other engineers.

Design and implement AI-native software development lifecycle standards. Lead organizational adoption and integration with enterprise architecture in a regulatory environment.