Top Artificial Intelligence Jobs

The Principal Engineer, AI Architect will design and implement Generative AI solutions, lead engineering teams, and shape the AI vision.

Develop and deploy AI agents, integrating them with external systems and optimizing performance in multi-agent environments. Collaborate with product managers to align agent capabilities with business needs, exploring technologies in Generative AI and LLM orchestration.

The AI Methodologist will support NGA's modernization initiatives by designing AI integration strategies, assessing GOTS/COTS solutions, and facilitating adoption while ensuring security compliance.

This role involves designing, training, and evaluating ML models, collaborating on AI initiatives, and optimizing model performance for practical applications.

Lead and manage the compute, data, AI, and security infrastructure for sequencing operations, overseeing core services and system designs.

As a Data Engineering Intern, you will design ETL pipelines, implement AI automation, and create dashboards to support Business Intelligence.

The AI Adoption & Training Coordinator audits workflows, identifies AI solutions, develops training materials, and communicates complex ideas effectively across teams.

The Senior Product Manager will oversee the product roadmap, define product vision, conduct user research, and collaborate with cross-functional teams to deliver AI-powered solutions.

The AI Engineer will develop AI tools and workflows for Kanbrick and partner companies, enhancing productivity and enabling automation.

Cobalt AI seeks a Senior Product Manager to oversee a key product area, balancing customer needs and technical feasibility while driving product vision and strategy through close collaboration with engineering, design, and sales teams.

The Senior AI Applied Scientist will develop AI-powered features, establish evaluation frameworks, shape a metrics-driven culture, and ensure HIPAA compliance for healthcare applications.

As Senior Vice President, Applied AI Product Manager, you will drive the design and delivery of AI products that enhance operational efficiency and client outcomes, while engaging engineering and data science teams.

Manage and oversee AI and software development projects at Success Academy, ensuring timely delivery through effective communication and collaboration with cross-functional teams.

The role involves analyzing datasets, designing feedback loops, and improving ML models in AI-based contract management systems. Responsibilities include data evaluation, collaboration with engineers and PMs, and supporting the development of data infrastructure.

The Privacy and AI Counsel will support Lyra's privacy program, manage AI-related legal issues, advise stakeholders, ensure compliance, and lead projects related to privacy and AI governance.

Design and build Executive Communication Agents for leadership operations, focusing on automation of workflows and integrations with enterprise tools while collaborating closely with executives.

The AI Engineer will design and develop AI features for a web-based application, integrating LLMs and APIs while ensuring compliance and performance. Responsibilities include building workflows, implementing monitoring, and maintaining applications.

Manage the creative team and lead brand campaign execution while developing team members and establishing creative authority across functions.

The Product Manager for the AI Foundry team manages MAIA, oversees technical execution, coordinates with engineering, runs experiments, and evaluates features for AI capabilities.

The Senior Engineer will develop scalable machine learning models, partner with data scientists, and improve business performance through AI technologies.

As Compute and Infrastructure Counsel, you will lead legal negotiations for infrastructure projects related to AI, including hardware partnerships, cloud capacity agreements, and energy contracts while managing outside counsel.

As a Generative AI Engineer, you will develop data quality models, build data pipelines, and implement security practices while mentoring junior engineers.

This remote freelance role involves writing about consumer AI tools, covering guides, reviews, and translating tech features for general users. Writers must meet deadlines and pitch their ideas.

The Data Engineer will develop and optimize data pipelines for LLMs, ensuring high-quality healthcare datasets while collaborating with data scientists on model requirements.

Lead the strategy and evolution of AI platform capabilities at Follow Up Boss, integrating AI with workflows and data while enhancing user experiences.