Top AI Engineer Jobs in Austin, TX

Lead the transformation of our marketing ecosystem by designing AI-driven workflows, building generative asset pipelines, and developing predictive models while ensuring compliance with global privacy standards.

The Senior AI Engineer will design, develop, and implement multi-agent AI systems to optimize healthcare revenue management, focusing on agent orchestration and API integration.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

The Staff AI Engineer will design and build AI systems for healthcare, focusing on agentic behavior, coordination, and workflow execution, while mentoring engineers and ensuring system reliability.

The Senior AI Engineer will design and build architectures for AI systems, translate healthcare processes into AI solutions, and ensure operational reliability while partnering with domain experts.

As a Principal AI Engineer, you'll design AI systems for healthcare, collaborate with cross-functional teams, and enhance care delivery workflows.

The Staff AI Engineer will analyze AI quality, implement improvements, manage projects, collaborate with teams, and shape AI capabilities in a remote-first environment.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

The Senior AI Engineer role involves deploying AI solutions to extract structured data from medical charts, improving efficiency and ensuring compliance. Responsibilities include developing AI extraction pipelines, maintaining AI model production, and collaborating with cross-functional teams to integrate AI solutions into healthcare systems.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

The AI Solutions Engineer will develop AI agents and workflows to improve Sales performance, guiding strategies and collaborating across teams to implement AI solutions.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

Lead AI engineering initiatives, architect systems for AI-assisted code generation, and drive automation in a fintech environment. Responsible for technical standards and implementation across multiple complex projects using LLMs and AI agents.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

Lead AI agentic deployments and design tailored solutions using Elastic technologies. Oversee technical delivery, mentor junior engineers, and ensure successful client partnerships in AI implementations.

The Senior AI Engineer will design and implement personalized agent workflows, memory systems, and evaluate AI agents while collaborating with platform engineering on a proprietary platform.

The Sr. Staff AI Engineer designs and delivers scalable AI solutions, collaborates on architecture, ensures compliance, and mentors teams.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves building AI infrastructure to support healthcare applications, mentoring engineers, defining technical direction, and ensuring system reliability and scalability in production environments.

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.

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

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.