Top Artificial Intelligence Jobs

The AI Solutions Architect will design and implement AI solutions, architect AI infrastructure, lead initiatives, and mentor teams while ensuring alignment with business objectives.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

Design user-facing AI experiences for tax and accounting by simplifying complex tasks, ensuring compliance, and enhancing usability. Collaborate with teams for intuitive solutions and deliver high-quality prototypes.

The AI Vision Systems Specialist designs and implements computer vision solutions for automated inspection, collaborates with teams, and drives integration in production lines.

Seeking a mid-level AI/ML Engineer to design, develop, and deploy machine learning models, manage MLOps practices, and integrate AI into applications for a DoD client. Requires 3-5 years of experience and TS/SCI clearance.

Develop algorithms using machine learning and statistics to address complex problems. Manage data processing pipelines and deploy solutions on cloud infrastructure.

As a Sustaining Engineer, you will maintain and improve Generative AI systems, troubleshooting issues, and optimizing performance within an Agile team.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Lead the architecture and optimization of large-scale HPC and AI platforms, focusing on NVIDIA technologies. Provide technical guidance and ensure successful customer deployments.

The role involves owning the sales cycle for a new AI product, collaborating with teams, and refining sales processes based on customer feedback.

The intern will support cybersecurity through system maintenance, AI/ML tools development, compliance with standards, and enhancing IT infrastructure.

The role involves defining business needs, translating them into software requirements, leading discovery sessions, and collaborating with stakeholders and development teams, with a focus on AI-driven prototyping and pre-sales activities.

The Lead Enterprise AI Architect will provide strategic guidance and technical authority on AI initiatives, ensuring alignment with federal policies and enterprise goals. Responsibilities include developing AI architectures, managing roadmaps, and advising executive leadership on technology strategy and AI governance.

Lead product marketing for Temporal’s AI initiatives, defining positioning and messaging, developing value propositions, and driving adoption across AI segments.

The Senior AI Engineer will develop cloud-based AI products, architect systems for LLMs, and provide technical guidance, while ensuring high standards and performance.

The AI Outcomes Manager is responsible for post-sales success, ensuring AI implementation meets metrics and drives customer value. This includes managing usage patterns, driving adoption, handling escalations, and acting as the voice of the customer to Product and Engineering teams.

The Engineering Manager will lead the team building the LangSmith observability platform, mentoring engineers, defining technical directions, and collaborating with product teams to develop reliable AI systems.

Intern will enhance internal tools, automate workflows, and manage knowledge bases, focusing on AI-driven tooling and cloud infrastructure.

Lead the development of AI-driven marketing and lead generation systems. Manage a large budget and improve marketing performance metrics while optimizing for SEO and GEO.

As a Principal Software Developer/Tech Lead, design scalable AI infrastructure and integrate AI features into the Signals Notebook product while collaborating cross-functionally and ensuring system performance.

Lead Software Architect/Engineer responsible for developing AI-native applications, overseeing software architecture, and mentoring engineers in a cross-functional team.

The role involves defining AI strategy for the AECO industry, prioritizing AI use cases, and guiding AI initiatives to align with Autodesk's portfolio.

Lead the development of generative AI tools and scalable data pipelines for the AEC industry, mentoring engineers and collaborating on ML systems.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

Lead the development of AI-enabled SaaS products, collaborating with design and engineering to improve workflows, define success metrics, and ensure product usability.