Top Tech Jobs & Startup Jobs in Austin, TX

Lead AI infrastructure projects, develop GenAI solutions, drive automation strategy, and collaborate with IT and business teams for implementation.

Lead enterprise AI strategy and product management across business and technology teams. Identify high-value AI opportunities, translate strategy into product roadmaps, drive deployments of self-service platforms and MVPs, perform requirements gathering, business case and ROI analysis, manage portfolio governance and model lifecycle, produce executive materials, and lead a small global team to execute transformational AI initiatives.

Design, build, test, deploy, and support production-grade backend services, APIs, and cloud-enabled platform capabilities for wealth custody and clearing. Collaborate with product, architecture, risk, and operations to ensure secure, scalable, observable, and resilient integrations and workflows. Participate in Agile delivery, troubleshoot production issues, and mentor junior engineers.

Lead design, deployment, and operations of secure, resilient enterprise AI platforms across Azure, AWS, and private cloud. Manage Kubernetes, VMs, networking, secrets, Databricks, LLM services, IaC, CI/CD, automation, monitoring, IAM, incident response, and production readiness. Partner with cross-functional teams to enforce governance, resiliency, and compliance for production AI workloads.

Lead end-to-end architecture for a major Generative AI platform: define reference architectures, integration contracts, NFRs, and reusable patterns (RAG, model serving, prompt/agent workflows). Partner with product, engineering, data science, cloud, security, and DevSecOps to ensure secure, scalable, compliant, and production-ready AI solutions. Conduct design reviews, proofs-of-concept, and drive platform governance and operational readiness.

Lead design and delivery of an enterprise Generative AI platform across AWS Bedrock, Azure Foundry/OpenAI, and Databricks. Architect multi-cloud RAG/agent solutions, author IaC and Harness pipelines, enforce governance/FinOps/observability, mentor senior engineers, and enable data scientists and app teams to ship production GenAI at scale in regulated environments.