Top AI Jobs in Austin, TX

Lead a diverse team of researchers, manage research strategies, ensure ethical standards in AI, and contribute to internet regulation standards.

The Manager, Data Operations leads a team of analysts, solving complex data problems, ensuring data quality, improving existing processes, and overseeing daily performance to enhance data-driven decision-making.

The Staff Business Systems Analyst will lead the design and delivery of scalable Sales Cloud solutions, collaborating with cross-functional teams to align business goals with technical execution.

The Marketing Specialist will enhance Amazon marketing efforts, manage media strategies, optimize campaigns, and collaborate cross-functionally to drive business growth. Key responsibilities include SEO optimization, budget management, and integrating innovative technologies to improve ad performance and user experience.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

As Senior Counsel, you will support Product and Engineering teams with regulatory guidance in health technology. Responsibilities include translating regulations into actionable guidance and helping develop compliance strategies.

The role involves optimizing network software for Arm architectures, mentoring customers on performance techniques, and writing reports and documentation.

Lead the development of AI chat solutions, build integrations with GM systems, mentor junior engineers, and address technical challenges in customer support.

Assist in developing, testing, and maintaining software applications, collaborate with teams on features, troubleshoot bugs, and document processes.

Lead the multi-year roadmap and technical requirements for ML/NPU subsystems across markets. Define reusable technology direction, translate product goals into prioritized technical requirements, align development with market strategy, track industry trends, set KPIs, and mentor peers while collaborating with architecture, product, engineering, and customers.

Lead strategy and delivery of an AI-native internal platform that unifies tools, data, and services. Define roadmap, partner with engineering/AI/data teams, operationalize safety and evaluation, deploy compliance automation, measure platform success, and drive cross-functional alignment to scale AI use cases across the company.

Design, build, and own scalable microservices and secure APIs for blockchain and payments systems. Improve and maintain production infrastructure, integrate with banks/third-party services, lead architecture and system design, and ensure high code quality and testing standards.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

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

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

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

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

In this role, you will develop and maintain CI/CD pipelines, collaborate across teams to implement best practices, and troubleshoot deployment issues in a hybrid work setting.

Design and maintain scalable authentication and authorization services. Implement identity protocols and ensure secure user access for the AIDR platform.

As an AI & ML Engineering Intern, you'll design and build internal AI-powered tools, automate workflows, and contribute to shared AI infrastructure, with a focus on LLMs and machine learning frameworks.

Lead AI Transformation Programs as PMO Strategic Director. Partner with leadership to shape strategy, oversee projects, and ensure successful AI implementation.

The Applied AI Engineer will build and maintain AI agents, manage integrations and monitor performance, ensuring quality and continuous improvement of AI tools at Zello.

Lead and define AI architecture, ensuring scalable, reliable AI systems while mentoring engineers and collaborating with product teams.

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.