Top AI Engineer Jobs in Austin, TX

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

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

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

The Sr. Delivery Acceleration AI Engineer will develop AI-driven solutions for implementation processes, optimize workflows, and ensure alignment with professional services. Responsibilities include creating AI agent workflows, validating outputs, and integrating solutions with ServiceNow's platform.

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.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

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.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The Developer Relations Engineer will enhance on-device AI by enabling developers to run AI models efficiently on Arm platforms. Responsibilities include creating optimization techniques, maintaining implementation references, developing guides, and engaging with the developer community.

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

The Senior AI/ML Engineer develops and deploys ML models for map content enhancement, leading technical guidance and collaboration with various teams.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The Senior Software Engineer will lead projects in building AI/ML workflows, developing model services, and enhancing APIs, while collaborating across teams to drive technical excellence and operational success.

The Senior Full-Stack Engineer II will lead technical projects, develop AI application services, maintain APIs, and collaborate on system architecture and product design.

Intern will develop AI-powered tools and applications for marketing and sales functions, focusing on full-stack development and GTM strategies.

The AI Developer will design and build AI solutions using Azure, collaborate across teams, develop conversational copilots, and ensure security and compliance in AI applications.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

The Senior Forward Deployed AI Engineer will create, deploy, and maintain AI systems, optimize workflows, and communicate with customers to address needs within production environments.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As an AI Senior Software Developer, you will develop AI infrastructure, collaborate with teams, and optimize applications for production at GM.

The AI Networking Engineer will optimize software performance for Arm architecture, mentor clients, and contribute to open-source projects while analyzing networking workloads.