Top Artificial Intelligence Jobs

The AI Success Manager ensures successful AI deployments and customer engagements, focusing on strategy, collaboration, and achieving business outcomes.

The Principal Software Engineer will design AI-assisted developer tools, improve software development workflows, and integrate new technologies for government contracts.

The AI Success Manager will lead AI deployments, ensure customer success, and manage project plans while collaborating with various teams.

As a Product Manager at Glean, you will evaluate LLM models, define the product roadmap, manage relationships with providers, and drive customer adoption of AI capabilities.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

The AI Product Owner will lead cross-functional AI projects, transforming internal processes and driving measurable outcomes by leveraging AI solutions across various business functions.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

Lead sales and business development strategies for Lumentum, drive revenue growth, manage key accounts, and collaborate across teams to achieve business objectives.

Lead end-to-end IFS Cloud architecture and integrations, design AI-augmented solutions (forecasting, scheduling, anomaly detection), define extension and environment strategies, ensure security/resilience, and align IFS data with enterprise BI/ML initiatives while partnering with stakeholders.

The AI Marketing Ops Consultant builds AI-powered marketing automation and workflows, integrates tools, documents processes, and collaborates with teams to optimize marketing operations.

The AI Production Designer will manage AI-enabled production workflows, maintain file standards, and coordinate with teams to ensure quality and efficiency.

As a Staff/Principal AI Engineer, you'll design and implement AI strategies for legal tech, lead engineering teams, and guide AI projects while collaborating across departments.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

This role involves overseeing AI governance, managing compliance with international laws, and collaborating with legal, product, and engineering teams.

The Senior Managing Counsel, AI Governance will oversee AI development governance, manage compliance with AI laws, and advise on privacy and cybersecurity standards. This role involves policy development, incident response management, and collaboration with cross-functional teams.

The Senior AI Engineer will implement AI solutions, consult stakeholders, lead projects, and ensure integration of cutting-edge AI technologies to meet business goals.

The Principal Machine Learning Engineer leads the deployment of multi-modal AI models on mobile platforms, setting technical vision and optimizing inference performance, while mentoring a team and collaborating cross-functionally.

Lead AI governance and compliance initiatives, manage risk, ensure adherence to privacy laws, and coordinate cross-functional collaboration to implement AI policies.

Oversee AI governance and compliance, manage AI incident response, and ensure adherence to international laws and ethical standards in AI development.

As a Senior AI Engineer, you'll implement AI solutions, facilitate customer workshops, lead development projects, and align strategies with business objectives, utilizing Azure and OpenAI technologies.

Design and oversee privacy governance for AI, ensuring compliance with laws and regulations, managing risks, and collaborating with various teams.

Responsible for managing the full sales cycle, expanding high-stakes relationships, and achieving revenue targets by engaging decision-makers at Fortune 500 companies.

Lead engineering of the full embodied systems stack for real-world robots, owning onboard inference, data collection, teleoperation, and on-robot RL systems. Set architecture and technical direction, deliver reliable real-time deployments, close the loop between data, models and actions, and mentor engineers to scale embodied AI in industrial environments.

The Internal Systems Engineer builds AI-powered tools and maintains a shared agent platform while integrating AI into customer operations at impact.com.

Audit and review data labeling outputs, provide actionable feedback, train and support labeling teams, monitor workflows, identify recurring issues and edge cases, participate in calibrations and stakeholder syncs, and help improve guidelines and processes in human-in-the-loop AI workflows.