Lead the design of AI/ML architecture, develop scalable GenAI solutions, and provide technical guidance to teams while implementing best practices.
Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems • Define technical standards, best practices, and governance frameworks for AI/ML implementations • Architect scalable GenAI solutions including LLM deployments, RAG systems, and multimodal AI applications • Lead architectural reviews and provide technical guidance to development teams • Design integration patterns between AI services and existing enterprise systems • Evaluate and recommend AI/ML technologies, platforms, and vendor solutions • Create technical roadmaps aligned with business objectives and AI strategy • Assess technical feasibility of AI use cases and provide effort estimations • 8+ years of experience in software architecture with 3+ years focused on AI/ML systems • Strong experience with cloud platforms (Azure preferred) and distributed systems architecture • Deep understanding of LLM architectures, transformer models, and generative AI patterns • Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes) • Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) • Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio • Strong technical leadership and mentoring capabilities • Experience with microservices architecture, API design, and event-driven systems
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What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
