Top AI Jobs in Austin, TX

The AI Operations Strategy Director at Realtor.com will lead AI initiatives, automate workflows, and enhance productivity across operations, product, and marketing functions.

The Senior Data Science Manager will lead and mentor a data science team, execute key projects, influence product strategies, and collaborate across departments to enhance AI/ML capabilities.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

As a Senior Business Systems Analyst, you will manage Webflow's enterprise AI tools, gather business requirements, support AI development, and enable teams to adopt AI solutions effectively.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

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 Technical Product Manager for MetIQ is responsible for the strategy and evolution of MetLife's Composite AI Platform, focusing on product outcomes, governance, and cross-functional collaboration to drive adoption and align with enterprise goals.

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

Lead design, build, and deployment of scalable ML/AI models (including image/vision) to production. Collaborate with engineering and business teams, monitor model quality and bias, and apply data-driven solutions to predict and aggregate risk.

As AI Enablement Services Lead, you will design AI solutions for operational tasks, automation of delivery processes, and enhance team capabilities in utilizing AI effectively.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.

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

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

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

The Senior AI Analyst translates AI capabilities into business solutions, driving AI initiatives from design to delivery while mentoring junior analysts and ensuring compliance with regulations.

The specialist will deploy, train, configure, and manage the Cognition AI Platform, ensuring solutions meet security and operational standards.

Lead the development of AI systems for Trustbridge and manage junior engineers, focusing on production deployment and technical strategy.

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

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

The AI Strategy Consultant develops and implements AI strategies, facilitates discussions with senior leaders, and solves challenges in the AI field.

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 Director of Enterprise AI will lead AI transformation across the organization, scale the AI team, drive delivery of AI projects, manage budgets, and partner with multiple business functions to achieve measurable outcomes.