Top AI Jobs in Austin, TX

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.

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.

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 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.

As an AI Infrastructure Engineer, you will build and optimize ML platforms, ensure best practices in model management, and collaborate across teams to enhance AI solutions.

As an AI Infrastructure Engineer, you will build and scale ML infrastructure, develop MLOps tools, optimize performance, and collaborate with cross-functional teams. The role requires experience in software engineering and cloud services.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

Lead the AI Agents team to develop multimodal AI systems, ensuring ethical integration and delivering innovative customer experience solutions using machine learning.

The Senior Product Marketing Manager will develop go-to-market strategies, create sales enablement content, and manage marketing materials for the data and AI platform. Responsibilities include collaborating with sales teams, conducting market research, and producing technical content for diverse audiences.

Seeking a Senior Software Engineer to enhance AI workflows with scalable server architecture, develop multi-agent systems, and ensure high performance and reliability.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

As a Senior AI Engineer at Dataminr, you'll deploy and optimize large-scale LLMs, collaborate with cross-functional teams, and solve complex AI challenges.

As a Generative AI Engineer at MCG, you'll design and deploy applications leveraging large language models for healthcare, focusing on automation and efficient content creation. You'll collaborate with clinical editors and data scientists, engage in full-stack development, and continuously evaluate performance of AI tools.

The Head of AI Growth Creative Studio will drive performance marketing at CookUnity by using AI to enhance content creation and creative testing while collaborating with various teams to ensure high-quality, effective marketing strategies.

The Principal AI Platform Engineer will design and maintain the infrastructure for AI systems, ensuring integration, security, and scalability for GenAI products.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.