Top AI Jobs in Austin, TX

The Senior Marketing Operations Manager will oversee the implementation of AI in marketing processes, manage AI projects, design governance frameworks, and foster adoption of AI capabilities across teams.

Design, build, and operate Jellyfish's Databricks Lakehouse and data/AI platform. Build ingestion, transformation, and delivery pipelines; govern data with Unity Catalog; enable BI, agentic analytics, metadata, lineage, and observability. Provide technical leadership, set architecture and standards, mentor peers, and collaborate with cross-functional stakeholders to make Databricks the foundation for analytics and AI.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Lead Cisco's IP strategy for AI by developing policies and documentation standards for patents, copyright, and trade secrets; run copyright and trade-secret programs; advise on AI-related patent strategies and vendor agreements; and translate legal and regulatory developments into executive-ready guidance.

The Sr. Product Manager will lead product cycles from definition to release in the Physical AI sector, develop strategies, and enhance partnerships to secure licensing and design wins.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

Support various HR functions through project management, process optimization, data analysis, and AI advocacy within the People Team.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

Lead product management in AI-driven safety solutions, focusing on video-based safety products, managing a roadmap and collaborating across teams for customer impact.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.

The Senior GTM Engineer in AI Innovation will strategize and implement AI initiatives across Marketing, Sales, and Customer Success while also leading cross-functional efforts and managing a growing team.

Serve as field-facing technical authority on enterprise AI security: define AI technical strategy, design and deliver tailored demos/POVs, advise on LLM/RAG/agent risks and data protection, feed product roadmap, and create reusable enablement assets and training for sales and engineering teams.

Lead architecture and execution of enterprise AI platform capabilities including scalable RAG pipelines, multi-agent orchestration, model routing, APIs, and observability. Drive infrastructure decisions (Azure, AKS, vector DBs), establish LLM integration patterns and guardrails, mentor engineering teams, and translate product priorities into production-ready AI platform services.

Design and build AI-native, high-performance distributed backend platforms for IT/OT/cybersecurity. Integrate LLMs and ML into production workflows, develop data pipelines and real-time processing, mentor engineers, and drive architectural direction and AI-assisted engineering practices.

Lead and scale engineering teams to build AI-native platforms across IT, OT, networking, and cybersecurity. Drive delivery of distributed, scalable backend systems, establish engineering processes, embed LLM/ML into production, champion AI-assisted development practices, partner with executives on strategy, and mentor senior technical leaders. Hybrid role in Austin with two onsite days weekly.

Lead design and delivery of scalable, secure cloud-native data platforms and large-scale data pipelines. Enable AI/ML use cases via integrated data and model-serving workflows, enforce data quality, observability, and security, and mentor engineers while aligning technical solutions to business priorities.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

As a Senior Product Designer, you will design and ship frontend code, create intuitive user experiences, conduct research, and build an AI-first design organization at Babylist.

The Staff Product Designer owns a major Babylist experience, designing user interactions across web and mobile, utilizing AI tools and frontend coding skills, while ensuring a user-centered approach and organizational alignment on product vision.

As a Senior AI Compiler Engineer, you'll design and implement MLIR-based compilers for 5G/6G silicon, ensuring high precision in hardware-specific IR generation and memory management with a focus on advanced compiler techniques.

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