Machine Learning Engineer (Enterprise AI Solutions & Architecture)
Hybrid · Austin, Texas, United States
Job Summary
Design enterprise AI solution architectures leveraging LLMs, RAG, vector search, intelligent agents, and cloud platforms (AWS/Azure); develop reusable frameworks and governance patterns to enable scalable, secure AI adoption across the organization. Collaborate with engineering, data, operations, and security teams to translate business challenges into practical technical solutions, evaluate trade-offs in performance, cost, risk, and business value, and stay current on emerging AI technologies. Hybrid role based in Austin, TX with occasional travel for collaboration and planning.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
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