Top AI & Machine Learning Jobs in Austin, TX

Leads architecture strategy and governance for sovereign AI solutions across sales, presales, and delivery. Designs secure AI/ML reference architectures covering data pipelines, model lifecycle management, inference infrastructure, and governance. Advises executives and customers, manages regulatory and operational risks, drives security-by-design, leads technical reviews, develops architectural documentation, and mentors architects. Requires hands-on Kubernetes, Linux, Ansible, HPC, SLURM, NVIDIA AI Enterprise, and related infrastructure experience.

Lead customer-facing architecture for AI data platforms and AI Factory environments. Design data-centric solutions for RAG, inference, and training workflows; size GPU and storage environments; optimize data movement, retrieval, latency, throughput, cost, and reliability. Partner with customers, sales, and Product Management to qualify opportunities, influence product roadmaps, create reference architectures, and develop scalable go-to-market solutions.

Lead end-to-end product strategy and roadmap for AI-enabled platform capabilities. Define value proposition, target segments, and business case; translate market needs into product requirements; align stakeholders and drive cross-functional delivery, adoption, and go-to-market execution.

Designs and integrates secure, scalable AI solutions for marketing workflows. Analyzes processes and data flows, identifies automation opportunities, defines integration and infrastructure requirements, evaluates vendors and build-versus-buy options, and supports AI governance, privacy, security, and compliance. The role collaborates with AI/ML engineering, data engineering, IT, security, legal, compliance, and marketing stakeholders to align AI platforms, agents, and applications with enterprise architecture and MarTech objectives.

Lead and deliver large, high-risk HPC and AI deployments across the Americas. Manage customer relationships, project financials and P&L, cross-functional teams, schedules, legal/commercial issues, and on-site acceptance. Mentor team members and provide performance input while coordinating internal and external resources.