Top Tech Jobs & Startup Jobs in Austin, TX

Leads enterprise agentic AI platform strategy, architecture, governance, and technology roadmaps across AWS, Google Cloud, and Azure. Oversees multi-agent orchestration, security, IAM/RBAC, reliability, scalability, cost optimization, compliance, and risk management. Represents platform teams in executive governance forums, partners cross-functionally on delivery, and builds engineering leadership talent. Requires extensive experience leading large-scale AI platforms and strong expertise in cloud-native architecture, agentic AI, organizational standards, and stakeholder management.

Leads enterprise agentic AI platform strategy, architecture, governance, and technology roadmaps across AWS, Google Cloud, and Azure. Oversees multi-agent orchestration, security, reliability, scalability, compliance, cost optimization, and performance. Partners with architecture, data, knowledge, and product teams while representing platform teams in governance forums. Builds engineering leadership talent, drives innovation, and establishes organizational standards for enterprise AI platforms.

Lead enterprise-wide Generative AI architecture strategy across cloud and hybrid platforms. Define reference architectures, standards, integration patterns, and reusable capabilities for RAG, model serving, agentic workflows, and AI applications. Govern architecture decisions, ensure security, resilience, compliance, Responsible AI, and scalability, and guide modernization, platform evaluations, production onboarding, and build-versus-buy decisions. Partner with senior leaders and cross-functional teams while mentoring architects and engineering leaders.

Design, develop, test, deploy, and support scalable backend services, APIs, integrations, and cloud-enabled software for a regulated wealth custody and clearing platform. Collaborate across product, architecture, operations, risk, and compliance; participate in design reviews and Agile delivery; troubleshoot production issues; ensure security, resiliency, observability, data integrity, and operational readiness; and mentor junior engineers.

Leads enterprise-wide AI architecture strategy across the Generative AI platform stack. Defines reference architectures, cloud standards, integration patterns, governance controls, and scalable designs for RAG, model serving, agentic workflows, and AI applications. Guides modernization, build-versus-buy decisions, technical due diligence, and production onboarding while ensuring security, resilience, compliance, interoperability, and cost efficiency. Partners with executives, engineering, security, risk, data, and operations teams, chairs architecture governance forums, and mentors architects and engineering leaders.

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

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.

Owns end-to-end architecture for a major generative AI platform and shared AI services. Responsibilities include designing model integrations, APIs, data flows, orchestration, RAG and agentic workflows; defining architecture standards, integration contracts, and non-functional requirements; ensuring security, resilience, compliance, governance, observability, and scalability; and conducting architecture reviews and proof-of-concept assessments. The role partners with product, engineering, data science, cloud, security, and control teams to deliver production-ready enterprise AI systems.