Top AI Engineer Jobs in Austin, TX

As an AI Senior Software Developer, you will develop AI infrastructure, collaborate with teams, and optimize applications for production at GM.

The Staff AI Engineer will lead backend architecture for AI/ML features in payments, focus on LLMs, collaborate with teams, and enhance payment experiences.

The Senior AI Engineer will design and implement AI-powered product features, focusing on LLMs and distributed systems, while leading projects from inception to production.

The Staff AI Engineer will lead design and delivery of AI products, define technical architecture, set engineering standards, and collaborate across teams.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

The role involves designing and deploying generative AI solutions, collaborating with teams, ensuring security and compliance, and guiding architectural decisions for AI initiatives.

Design and build payments technology incorporating AI-driven features, ensuring scalability and security. Collaborate with teams to implement intelligent payment experiences using LLMs.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

As a Sr. AI Solutions Engineer, you will develop AI solutions, prototype applications, teach teams, and drive AI adoption across the company.

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

This role involves advanced technical support for Generative AI platforms on Azure and AWS, focusing on incident management, troubleshooting, and collaboration with various teams to ensure optimal platform performance and reliability.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

As a Staff AI Engineer, you will design and implement AI-powered automation for internal departments, manage the full project lifecycle, and enhance various processes across CargoSprint, focusing on business impact and collaboration.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The role focuses on deploying AI-driven solutions and integrating them within client environments. Responsibilities include client interaction, engineering, prototyping, and contributing to NewRocket's AI platforms.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

Design and develop software integrating AI capabilities, mentor team members, ensure product quality, and promote AI literacy within the engineering team.

The Senior Data/AI Engineer will design, develop, and operate AI-driven backend systems, data pipelines, and APIs, while providing technical guidance and ensuring system reliability and scalability.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

As a Forward Deployed AI Engineer at Accelerant, you'll automate workflows using AI tools, partner with business teams to identify inefficiencies, and build production-level AI solutions, from code to operational reliability.

The Staff AI Engineer will design AI-powered systems for People Technology at Grafana Labs, improving workflows and data insights across teams while ensuring responsible AI practices and data governance.

Sift Healthcare seeks a Senior AI Engineer to enhance ML and AI infrastructure, improve predictive models for healthcare payments, and collaborate with cross-functional teams, requiring 5+ years in an AI role and advanced degree.

Design and implement AI-driven tools to improve workflows across teams. Collaborate to identify internal problems AI can solve, and prototype solutions quickly.

The Principal AI Software Engineer will design, implement, and deploy AI applications, focusing on ML models and AI systems, while ensuring compliance and collaboration across teams.

As an Applied AI Engineer, you will identify, scope, and deliver AI capabilities, partnering with teams to integrate AI solutions, automate workflows, and enhance product functionality while ensuring reliability and maintainability.