Top AI Jobs in Austin, TX

As a Senior Lead AI Solutions Consultant, you'll drive revenue by promoting the BrazeAI portfolio, leading technical discussions, and conducting AI Academy workshops, while collaborating across teams to enhance Braze's offerings.

This role involves designing and deploying AI-powered marketing solutions, integrating systems, writing code, and collaborating cross-functionally to enhance workflows.

Lead a global UX research team focused on developer experiences for AI and developer platforms. Set research vision and operating model, mentor researchers, run qualitative and quantitative studies across tools, GUIs, CLIs, APIs and runtimes, and translate insights into product strategy by partnering with product, engineering, design, ecosystem and business stakeholders.

The Principal AI Compiler Engineer designs hardware for AI, ensuring models translate effectively to silicon and perform optimally in 5G applications.

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 Senior Director, Physical AI will lead Go-To-Market initiatives focused on robotics and autonomous systems, ensuring customer success and adoption of Arm's compute platform.

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.

Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.

Lead architecture and delivery of enterprise-grade marketing AI platforms and agent-powered solutions. Build scalable, secure systems that connect data, knowledge, orchestration, and activation for marketing use cases. Partner across engineering, data science, product, governance, and marketing to productionize AI, enforce reliability and compliance, and mentor senior engineers.

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.

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.

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

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.

As a Sr. AI Platform Engineer, you'll manage and improve AI tool operations, ensure security and governance, and support users across the company.

The Staff AI Performance Engineer will optimize performance across ARM-based architectures and distributed systems, analyzing AI workloads and collaborating to enhance system efficiency.

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

Lead machine learning research initiatives, develop algorithms, manage projects, mentor researchers, and collaborate with industry stakeholders.

Partner with sales and customers to discover needs, design and build AI + data + workflow proofs-of-concept, run executive workshops and demos, iterate quickly, and create reusable components and best practices while working cross-functionally to deliver scalable AI solutions.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

As a Principal AI Engineer, you'll design production-grade systems integrating generative AI in mental healthcare, overseeing architecture and applied research.

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

Senior SRE on the IT Operations team owning reliability, monitoring, and incident response for AI infrastructure. Build automation, CI/CD and Kubernetes tooling, improve observability and documentation, and develop internal full-stack tools using Go or Python. Partner with Infrastructure, Security, and Compliance to scale secure, resilient AI deployment pipelines.