Top Artificial Intelligence Jobs

The Associate AI Engineer will collaborate with teams to design, build, and deploy AI solutions that enhance business processes and efficiency, using advanced AI technologies.

Lead and grow an AI Platforms practice: architect multi-rack GPU/HPC AI factories, run Trace3 AI Labs, manage presales architects, engage OEMs, drive technical deals and thought leadership, and ensure smooth delivery handoffs.

Lead global AI education and enablement programs across trading, technology, and operations: design curricula and one-off training, build train-the-trainer networks, partner with vendors, define metrics to measure impact, convert learning into product input for the internal AI platform, and manage executive stakeholders to drive AI adoption.

Lead AI governance initiatives, strategize AI implementations, manage projects, conduct research, and ensure compliance with standards in Army Intelligence.

The Director of Applied AI leads the development and deployment of AI solutions for clients, manages cross-functional teams, and drives innovation in distributed AI infrastructure.

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

The AI Research Scientist will design, train, and optimize state-of-the-art machine learning models, conduct research on model efficiency, and collaborate with engineering teams to ensure real-world impact.

The Senior Sourcing Lead will lead cloud and AI sourcing strategies, negotiate hyperscaler agreements, and work with stakeholders to drive cost optimization.

The Senior Forward Deployed AI Engineer will create, deploy, and maintain AI systems, optimize workflows, and communicate with customers to address needs within production environments.

The Applied AI Lead will develop go-to-market strategies, produce technical marketing materials, and collaborate with teams to promote Tellius' AI capabilities.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.

Lead design and delivery of AI education across trading, technology, and operations; build global training curricula and train-the-trainer networks; measure program impact; convert learning into product input for internal AI platform; manage executive stakeholders and partner with content providers.

The Head of Enterprise AI Sales will drive sales efforts for RYZ Labs' AI solutions in medium to large enterprises, navigating complex deals and establishing a scalable sales organization.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.

Design and prototype user-centered interfaces for online loan and bank account applications. Collaborate with PMs and engineers, create high-fidelity prototypes and design systems in Figma, apply user research, and incorporate AI-assisted design workflows to improve lending UX.

Design, build, and operate Python-based agentic automation and playbooks for GovCloud CSIRT workflows. Integrate LLM-backed agents, third-party APIs, and secure, auditable automation. Own end-to-end delivery including testing, CI/CD, observability, on-call support, and mentor peers while using AI-assisted development tools and maintaining compliance with government/security constraints.

Design, implement, and train novel deep learning models at scale. Prototype architectures for tabular, relational, and graph data. Apply cutting-edge AI research, advise strategy, and partner with engineering, product, and design to productionize research into customer-facing features.

As an AI and Technology Consultant, you'll drive strategic initiatives using technical and business expertise, collaborating with clients from C-suite to shop floor.

The AI and Technology Consultant will provide strategic guidance to clients on technology initiatives, focusing on cloud strategies, software development, and Agile transformation.

AI and Technology Consultants collaborate with clients, offering strategic guidance in areas like Agile transformation, cloud strategies, and software development.

AI and Technology Consultants work with clients to deliver strategic initiatives, requiring technical and business acumen, and strong collaboration skills. They excel in cloud strategies, DevOps, app development, and agile methodologies.

AI and Technology Consultants collaborate with clients to implement strategic initiatives, focusing on cloud strategies, development, and transformation projects across various industries.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

Lead enterprise data and AI strategy and build scalable data infrastructure for a biotech company. Deliver prioritized AI use cases, enable productivity tools, ensure regulated data and AI controls, and partner cross-functionally to create reporting, governance, and analytics that support clinical, regulatory, medical affairs, commercial, and executive decisions.

As an AI and Technology Consultant, you'll collaborate with clients to deliver strategic initiatives, leveraging technical and business skills in areas like Agile Transformation and Cloud Strategies.