Top AI Engineer Jobs

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.

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

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

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.

The AI Engineer will architect and implement AI solutions to enhance marketing efficiency, campaign management, and analytics. Responsibilities include creating AI-driven workflows, analytics systems, and collaborating with cross-functional teams to optimize marketing operations.

As a Senior AI Engineer at Via, you will lead the development of AI products, collaborate with partners, design scalable systems, and shape the technical culture of a new team.

The Senior Data & AI Developer will build AI tools, maintain analytics dashboards, and oversee data architecture, ensuring effective data use across the firm.

Develop AI agents and generative applications using large language models. Collaborate with teams to enhance agent capabilities and solve complex problems.

The Senior Machine Learning Engineer will build and enhance models and systems for classifying and enriching Internet data, collaborating with various teams to improve data quality and insights.

The Senior AI Engineer will enhance Gurobi Optimization's platform through AI and machine learning, focusing on integration, testing, and collaboration across teams.

The role involves leading the engineering team in developing and deploying Generative AI applications, managing the technical roadmap, and collaborating with cross-functional teams to deliver AI solutions.

The Forward Deployed AI Engineer designs, builds, and deploys intelligent applications using Python and related technologies, addressing customer needs and leading deployment projects.