Top Artificial Intelligence Jobs

Design and develop machine learning systems for construction robots, including scalable infrastructure, computer vision models, and data analysis for performance improvement.

The Senior Product Manager will define the product strategy and roadmap for AI and data products, lead product initiatives, and collaborate with engineering and data science teams. The role requires transforming complex problems into actionable products that enhance healthcare decision-making.

The AI Strategy Director is responsible for managing client relationships, driving AI transformation projects, leading discovery sessions, and ensuring high-quality delivery while coordinating between clients and the engineering team.

The AI Analyst will develop AI solutions, write SOPs, analyze data, and collaborate with specialists while staying updated on AI trends.

As an AI Prompt Engineer, you'll develop prompt templates, conduct A/B tests, collaborate with trainers, and maintain prompt libraries for generative AI applications.

The AI Integrator will lead the design and deployment of AI solutions, integrate systems, support client adoption, and manage changes in workflows.

The AI Engineer will design, implement, test, and maintain high-performance AI and machine learning models, optimizing them for deployment, collaborating with cross-functional teams, and ensuring software quality.

The Solutions Engineer - Google AI assesses customer AI needs, delivers security services, collaborates with teams, develops demos, and ensures delivery readiness for Google AI solutions.

The Engagement Manager manages project execution, collaborates with technical teams on AI solutions, develops client relationships, and coaches consultants.

The AI Engineer will develop and deploy AI/ML models, optimize data pipelines, and collaborate with teams to enhance investment decision-making using AI technologies. Responsibilities include maintaining AI governance and facilitating innovation workshops.

The Chief of Staff will lead AI transformation initiatives, design AI-powered processes, manage client engagements, and ensure effective execution and governance across projects.

The role involves building AI agents for healthcare practices, focusing on reliability, data pipelines, automation, and production systems.

Design and implement cutting-edge machine learning models, optimize them for performance on Apple devices, and collaborate with engineers to enhance user interfaces.

The Artificial Intelligence Security Analyst assesses AI systems for security vulnerabilities, establishes testing frameworks, monitors assets, and collaborates with cybersecurity teams to ensure the secure deployment of AI technologies.

Design and implement AI solution architecture, mentor team members, and develop innovative solutions for complex AI-related business problems while managing constraints.

The AI Solution Architect designs and implements AI solution architectures, mentors teams, addresses complex business challenges, and operates in classified environments.

Manage intake and enablement of business teams using AI and Automation, evaluate opportunities, lead working sessions, and ensure alignment with standards.

The Senior Product Marketing Manager will define OpusClip's positioning, manage product launches, drive user adoption, and relay customer insights. Creative storytelling and marketing expertise are crucial.

The Full Stack AI Engineer will redesign AI-native codebases, implement front-end and back-end features, work with LLMs, and shape product outcomes collaboratively.

As a Merit Reviewer, you will evaluate applications for the federal government, ensuring unbiased assessments with expertise in areas like cloud computing, AI, telecom, and software engineering.

The AI Platform Architect will lead the design and optimization of the EisnerAI Platform on Azure, ensuring performance, reliability, and cost efficiency, while mentoring teams across the organization.

The Senior AI Engineer will focus on building AI-driven pipelines, semantic technologies, and enterprise ontologies while mentoring and ensuring best practices in a hands-on role.

As a Solutions Architect at NVIDIA, you'll develop and deploy AI systems, optimize performance, and collaborate with partners to integrate AI solutions into enterprise environments.

Lead NVIDIA's storage strategy for AI Cloud, focusing on high-performance storage solutions for critical workloads, mentoring engineers, and influencing technical direction across teams and external partners.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.