Top Artificial Intelligence Jobs

The Chief of Staff will support the Managing Director of AI by leading AI transformation initiatives, designing AI-enabled processes, managing client engagements, and ensuring effective delivery and measurement of AI solutions.

Lead the development of AI systems integrating computer vision and language understanding, focusing on reinforcement learning and multimodal AI architectures.

As a Forward Deployed AI Engineer, you will integrate AI solutions into enterprise environments, deploy systems, debug pipelines, and advise clients. This role requires direct customer collaboration, system maintenance, and troubleshooting with a focus on high performance and reliability.

The Principal AI Architect leads the design and development of AI architectures, strategies, and projects while mentoring teams and integrating solutions into production environments.

As an Applied AI Engineer at Snorkel, you'll design and implement AI solutions using state-of-the-art techniques to solve customer challenges and enhance the Snorkel platform.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

The Product Owner will define the vision and strategy for the Carrier Voice AI product line, collaborating with teams to drive execution and product excellence.

Design and scale voice AI systems for automated phone conversations. Own feature development, make product decisions, and collaborate on technical challenges.

Develop AI agents for fraud detection, own end-to-end feature development, make product decisions, and interact with users and colleagues.

The Director of Artificial Intelligence will lead the firm in AI strategy, integration, governance, and ethical use, while fostering innovation and operational efficiency across the organization.

Design and deliver scalable multi-petabyte storage systems for AI workloads, optimizing performance, cost, and reliability in a Kubernetes environment.

Join Tavus as a Senior Researcher to lead research on generative video and audio models, work with the Applied ML team, and stay up-to-date with advancements in AI technologies. Ideal candidates should have a strong foundation in audio modeling, experience with deep learning, and programming skills in PyTorch, alongside a passion for creating lifelike avatars.

The AI Researcher will lead research on generative video models, collaborate with the applied ML team, and innovate through prototyping. Required skills include proficiency in generative modeling and diffusion models, along with evidence of original research.

As a Principal Data and AI Security Architect, you will design and implement robust security measures for AI/ML and data systems, ensuring data protection and compliance while collaborating with various teams on security strategies.

The intern will develop AI proof of concepts, create educational content, support data-driven projects, and collaborate with teams on AI initiatives.

Develop and deploy computer vision capabilities, building pipelines for image processing, analysis, and integration with multimodal AI systems. Requires collaboration with Product and Engineering teams.

The role involves architecting and scaling Generative AI capabilities, automating workflows, and ensuring secure AI integration in products, with a focus on safety and efficiency.

The Engineer will build, deploy, and operate AI capabilities, implement generative and agentic AI solutions for intelligence applications, and ensure safe and efficient AI outputs.

As a Senior Software Engineer, you'll design and develop cloud-based applications, innovate with AI features, mentor engineers, and enhance development processes.

The role involves building and managing AI infrastructure for go-to-market organizations, enabling sales and marketing teams to leverage AI for improved engagement and productivity.

The Lead Software Engineer, AI Planning designs and develops AI planning algorithms, integrating them into products and processes with a strong focus on task scheduling and systems architecture.

The Senior AI Engineer will build and deploy AI systems for real estate applications, focusing on agentic workflows, production infrastructure, RAG systems, and observability, leveraging AWS and Python.

Manage complex data and AI projects, acting as a bridge between strategy and execution. Define project roadmaps, facilitate Agile governance, manage risks, and ensure quality assurance.

Lead the engineering team to develop AI-driven platforms for primary care, integrating with EMR systems while ensuring provider efficiency and compliance.

As a Senior DevOps Engineer, you'll design and operate cloud and AI infrastructure, ensuring performance and reliability for large-scale AI applications using Azure and AWS.