Top AI Jobs in Austin, TX

The Engineering Manager leads a technical team focused on groundbreaking research and product development in fields like AI, cryptography, and distributed systems, overseeing projects and fostering collaboration to align with strategic goals.

The Research Manager leads teams in developing cutting-edge solutions, emphasizing technical guidance, strategic planning, and collaboration with engineers and data scientists.

The Integration Product Manager leads product management initiatives, drives innovation using technology, mentors junior staff, and ensures project success.

The Corporate Counsel will provide legal support for SaaS agreements, manage disputes, negotiate contracts, and ensure compliance within the insurance sector.

Lead automation efforts in Compliance utilizing AI solutions, defining product vision and strategy, collaborating cross-functionally, and measuring impact metrics.

As Senior Counsel, Product, you'll partner with R&D teams, offering legal guidance on healthcare regulations and technology innovations, ensuring compliance while fostering business growth.

As Counsel for Regulatory and Privacy, you will guide product and operations teams on healthcare regulations and privacy laws, ensuring compliance while enabling innovation.

As Product Manager for Falcon AI Studio, you'll shape strategy, gather requirements, collaborate with teams, and optimize user experiences for cybersecurity solutions.

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

The Director of AI Partner Solutions will oversee the creation and management of a partner delivery model, develop go-to-market strategies, and support deal pipelines by collaborating across departments.

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

As an AI Business Partner, you will implement the AI strategy at Zynga, ensuring effective use of AI technologies across teams, managing vendor relationships, and collaborating with stakeholders to track business KPIs.

The role involves engaging with global partners to promote and adopt ServiceNow's AI platform, driving business development initiatives, and ensuring joint pipeline creation with measurable outcomes.

The Field Data Scientist will collaborate with customers on analytics, improve data architecture, develop ML models, and ensure successful adoption of Braze's AI solutions.

As a Principal AI Engineer, you will design and implement AI models, mentor others, and tackle complex problems in a collaborative team to deliver secure AI solutions for customers.

The AI Success Manager will ensure customer success with Braze's product, drive renewals and upsells, analyze data insights, and communicate customer needs within the company.

As a Senior AI Solutions Engineer at Realtor.com, you will develop AI solutions, collaborate with teams, and coach others to enhance AI adoption and productivity within the company.

The Lead Data Engineer & Modeler is responsible for building scalable AI infrastructure, managing data pipelines, and collaborating with multiple teams to enable AI capabilities within BigCommerce.

The Data Engineer will build and maintain data pipelines and lake architectures to support AI operations, translating business needs into data solutions and enhancing data quality and performance.

The counsel lawyer will handle patent prosecution, specifically in 5G, Wi-Fi, AI, and related technologies, requiring strong analytical skills and client interaction.

The Business Analyst will define, manage, and improve workflows for automation and AI initiatives, collaborating with technical teams to translate requirements and validate outcomes.

Design, build, and maintain full stack web applications while collaborating with teams to implement AI integrations and automation solutions.

Develop and maintain AI-enabled applications, integrate AI tools, collaborate for technical solutions, and promote best practices in software development.

The role involves customer technical engagement, system design, and support related to NVIDIA's GPU products, ensuring customer satisfaction and product success.

Lead multiple teams in delivering full-stack AI solutions. Oversee AI model lifecycle, ensuring quality and strategic alignment while fostering innovation and stakeholder relationships.