Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.
JD Experience – 8 + years Key Responsibilities • Design, build, and operate a secure, scalable, and cost efficient enterprise Generative AI platform on AWS, supporting production grade LLM applications in regulated environments. • Own the full GenAI platform lifecycle, including architecture, deployment, operations, monitoring, incident management, and continuous reliability and performance improvements. • Implement and run AWS Bedrock–based solutions, enabling LLM inference, RAG, Agents, and Guardrails with high availability, fault tolerance, and SLA compliance. • Establish strong operational and governance frameworks, covering observability, alerting, RCA, security controls, access management, compliance, and cost optimization. • Bring deep expertise in cloud ML platforms and financial services, with strong Python skills, AWS services knowledge, GenAI hands on experience, and a background in production support, reliability engineering, and AI governance. Required Skills • 8+ years of experience in hands on exposure to AI/ML or Generative AI systems • Strong understanding of AI evaluation techniques, including hallucination detection, factual accuracy, bias, and output consistency • Knowledge of Responsible AI principles, including fairness, transparency, and explainability • Python (must-have) and Experience with: REST APIs and microservices
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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.
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- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
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- 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
