Top AI Engineer Jobs in Austin, TX

Design and implement AI/ML solutions using Oracle and modern AI tooling; analyze complex problems, mentor junior staff, build client relationships, manage data pipelines, and support deployment, monitoring, and integration of models into enterprise applications while upholding professional standards.

The ERP AI Engineer - Manager at PwC leads teams in AI/ML engineering, manages client relationships, and designs AI solutions, all while mentoring team members and addressing complex business challenges.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

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.

The Applied AI Developer will design and develop AI applications, build infrastructure for agentic AI systems, integrate APIs, and collaborate with stakeholders on AI solutions.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

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

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.

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.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

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

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.

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

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.

Build and optimize AI/ML infrastructure and production-grade systems. Integrate AI solutions across platforms, implement scalable, secure deployments, validate and monitor models, and connect diverse data sources and SaaS tools via APIs.

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

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

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

Build, ship, and operate end-to-end production AI/ML solutions for vehicle diagnostics, prognostics, and test analytics. Implement ML pipelines on Azure/Databricks, develop observable ML services, ensure model/data observability, and collaborate with SMEs to embed models into engineering workflows while mentoring other practitioners.

The Enterprise AI Engineer designs and operates the AI enablement platform, ensuring scalable AI adoption through governance, standards, and technical solutions.

Design and deliver AI-powered fraud defenses, build cloud-native systems, collaborate across teams, and mentor engineers in a dynamic environment.

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.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.