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.

Lead and manage a Medical Science Liaison (MSL) team to execute medical plans, engage KOLs and healthcare stakeholders, disseminate scientific data, collaborate cross-functionally for product initiatives, ensure regulatory compliance, monitor scientific trends, and represent the company at scientific events. Requires deep oncology and molecular biology expertise.

The Senior Accountant will oversee accounting functions, manage month-end closes, perform technical accounting analysis, support audits, and ensure accurate financial reporting.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

The Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

Lead full-stack web development on GCP to build AI-powered search and discovery experiences. Design and implement web apps, services, and indexing pipelines, optimize performance, automate CI/CD and testing, mentor engineers, collaborate with product and ML partners, and productionize search/recommendation capabilities.

Lead China go-to-market for Arm's Physical AI compute platform focused on robotics and autonomy. Define target segments, secure design wins, shape product roadmaps from customer feedback, build developer and partner ecosystems, enable system integrators/ODMs, and create reference designs, benchmarks, and scalable GTM assets to drive platform adoption and long-term revenue.

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

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 enterprise AI enablement by identifying high-value AI opportunities, redesigning workflows, building business cases, running pilots, driving adoption, establishing governance and metrics, and building organizational AI literacy to improve engineering productivity and business outcomes.

Lead enterprise AI transformation and architecture engagements, advising C-suite on AI strategy, designing end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), defining governance and responsible AI frameworks, and driving adoption, enablement, and practice development across ServiceNow implementations.

Lead design, build, and operate scalable observability systems for distributed cloud and on-vehicle environments. Contribute code and reviews, create technical designs, build tooling to collect observability signals, run PoCs for new tools, partner with engineering teams, define SLIs/SLOs, guide roadmap decisions, and mentor engineers to improve developer productivity and reliability.

Lead and hands-on build the AI Gateway: set technical/product direction, implement core systems and developer tooling, recruit and mentor engineers, collaborate with platform teams, and ship high-velocity AI infrastructure and agent tooling.

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.

Build and operate AI-driven People Ops systems on the Cloudflare developer platform: ship production workflows for hiring, onboarding, recruiting automation, self-service, AI copilots, data reconciliation, observable audit pipelines, and custom interview tooling. Integrate systems securely, implement authorization/audit logging, and work cross-functionally with HR, Legal, IT, and Security.

Lead product vision, strategy, and execution for Realtor.com's Enterprise AI portfolio across LLM platform, developer tooling, agentic solutions, and enablement. Drive prioritization, VOC discovery, OKR-based measurement, vendor relationships, cross-functional delivery, and executive storytelling. Mentor PMs, grow the AI community, and ensure scalable, governed AI adoption across engineering and business users to deliver measurable business impact.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.

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

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.

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 leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

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

Lead architecture and development of Back-End CAD flow (FlowJam), partner with Physical Design teams to define synthesis/place-and-route/timing and power methodologies for advanced nodes, improve QoR and automation, integrate AI-driven optimization, collaborate with EDA vendors, and mentor engineers.

Design and build maintainable, scalable, observable, and well-tested backend and distributed systems. Work in an AI-augmented development workflow, validate AI-generated outputs, contribute to architecture and system evolution, document designs and prompts, and mentor peers while collaborating with Product and UX.