Top AI Jobs in Austin, TX

Lead product vision and execution for AI-powered tools in homebuilding, managing cross-functional teams to enhance user experiences and business outcomes.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Seeking Applied Scientist to build scalable AI systems for estate planning, focusing on production-grade applications and document understanding using advanced AI models.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

The Lead AI/ML Engineer evaluates emerging technologies, leads teams in adopting solutions, and provides technical leadership while mentoring junior specialists.

As an Applied AI Engineer, you'll implement Speech AI models for clients, troubleshoot issues, and build prototypes, collaborating closely with various teams internally and externally.

The Principal Product Marketing Manager will develop messaging and content for AI solutions, support sales enablement, and guide marketing strategies, working collaboratively with different teams. The role includes market research, content creation, and leading product launches, aiming to enhance marketing and sales productivity.

The Director of AI & Innovation will define and execute the AI strategy, lead product innovation, engage with clients, and ensure high-quality delivery of AI initiatives.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

The AI Data Specialist will perform data collection, evaluation, annotation, and various tagging tasks to improve AI-generated content in English.

The Revenue-generating Solutions Manager identifies market opportunities, builds client relationships, and drives business growth by leveraging deep AI industry insights. They are responsible for exceeding revenue targets through strategic engagements and excellent communication skills.

As Senior Director of Product, you'll enhance product quality and velocity, manage and develop product managers, and drive impactful platform initiatives.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

The role involves designing and developing enterprise-grade software solutions, integrating AI tools, collaborating with teams, and maintaining documentation while enhancing productivity for Yahoo personnel.

You will design and optimize enterprise-grade AI conversational experiences, conduct research on human-AI collaboration, and translate user insights into actionable recommendations for AI deployment.

The role involves building AI-powered fashion automation systems using Clojure and ClojureScript, managing workflows, data models, and integrating LLMs for product recommendations and content generation.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

As a Senior Product Manager, you will lead the development of new AI-powered products in education, working cross-functionally to evaluate opportunities and define product vision.

As a ServiceNow AI Engineer, gather systems requirements, manage application development, and design custom solutions on the ServiceNow platform. Responsibilities include integrating systems, performing testing, and aligning with technical leads.

The Threat Researcher (AI) will conduct deep research on cloud security, identify risks, and collaborate with teams to integrate findings into products.

As an AI Prompt Engineer, you'll optimize generative content pipelines, develop templates for multiple products, test models, and collaborate with product teams.

As an AI Content Creator at Zeely, you will develop AI-generated content, create prompts, evaluate generation quality, and collaborate with design teams.

The role involves designing and developing machine learning infrastructure and models, consulting on best practices, and building scalable services for AI integration.

As a Senior Machine Learning Engineer, you will design ML infrastructure, build AI features, and collaborate with cross-functional teams while managing large data sets.