Top AI Engineer Jobs

The role involves designing, building, and deploying AI agents to enhance supply chain and restaurant operations, focusing on automation and transformation of workflows through AI technology.

Design and build AI systems, lead cross-functional teams, integrate AI with CRM systems, optimize models, and ensure compliance with development standards.

Translate multi-modal AI research into 0-1 products: design and run ML experiments, build scalable training and evaluation infrastructure, implement MLOps and data pipelines, deploy models, and use AI code tooling to move experiments to production MVPs.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

The Engineering Manager leads the IAM Platform team, focusing on operational leadership, SRE implementation, automation, AI integration, and team development to ensure stability and innovation in identity management.

As a Staff Data Engineer at DISQO, you will lead the architecture of data pipelines, integrate Generative AI capabilities, and mentor engineers, focusing on scalable solutions and data quality.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

The role involves leading the design and implementation of AI/ML Voice Bot solutions, managing cloud deployments, and mentoring a team.

Lead design, development, deployment, and maintenance of AI/ML solutions (including LLMs and Generative AI) for healthcare. Drive adoption of responsible AI, build conversational/chatbot systems, integrate AI into cloud services, ensure production reliability, mentor engineers, and align solutions with enterprise AI strategy and product goals.

Lead design, development, deployment, and operationalization of responsible AI/ML solutions (including LLMs, Generative AI, chatbots, and agent orchestration) for provider-facing products. Provide technical leadership, mentor engineers, ensure security/compliance, integrate AI into cloud platforms, and drive alignment with enterprise AI strategy.

Develop and build tools using AWS technologies, create Gen AI utilities, improve quality assurance practices, and collaborate with a global team.

The role involves designing and deploying AI systems for vaccine discovery, leading predictive modeling, integrating datasets, and mentoring colleagues on AI applications in vaccinology.

The role involves ensuring the reliability of Autonomous Vehicle software through triaging failures, deep debugging, automated testing, and collaboration with engineering teams.

As an AI-Centric Release & Automation Software Engineer, you will design automated release pipelines and integrate AI-driven processes for efficient AV software deployment, ensuring safety and reliability. Responsibilities include establishing metrics, collaborating on workflows, and communicating insights to stakeholders.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

The GCP GenAI Engineer will design and implement Generative AI solutions on Google Cloud, focusing on deployment, security, and connectivity, while supporting CI/CD pipelines and infrastructure as code.

Design, develop, and implement AI/ML models, manage AI solutions on cloud platforms, and collaborate with teams to optimize models.

The GTM AI Engineer will build and operate AI-powered infrastructure for the company's marketing and sales, manage CRM automation, and design workflows to enhance team effectiveness.

The Applied AI Engineer will design, build, and deploy enterprise-grade AI agents using LLMs, collaborate with customers, and mentor teams to enhance engineering quality.

As a Robotics AI Engineer, you will develop AI models for robotics, integrate features, and maintain an AI model library on the Springcraft platform.

As an AI Engineering Intern, you'll work on core AI systems for claims decision support, experimenting with models and building evaluation tools.

Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.

The Data AI Engineer will develop data infrastructure and pipelines, implement governance, optimize systems, and collaborate with stakeholders to enhance AI capabilities at Morgan Stanley.

The AI Engineer will architect and implement AI solutions in marketing workflows, improving efficiency and performance across various marketing operations.