Top Tech Jobs & Startup Jobs in Austin, TX

Leads Microsoft Entra ID identity and access management workstreams, including identity governance, privileged access, authentication, role-based access control, and lifecycle management. Manages client engagements, delivery plans, technical documentation, access policies, integrations, and security alignment. Coaches teams, reviews IAM designs and deliverables, resolves escalations, and identifies improvements to access administration and service delivery.

Leads cloud security advisory engagements across IaaS, PaaS, and SaaS environments. Develops security strategies, architectures, controls, monitoring, and incident response processes; directs risk assessments and vulnerability testing; advises executive clients; drives business development and thought leadership; and mentors security leaders and teams.

Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads cloud security engagements across IaaS, PaaS, and SaaS environments. Designs security architecture and controls, conducts risk assessments and vulnerability testing, manages monitoring and incident response, tracks remediation, and develops technical deliverables. The manager coaches team members, oversees project quality and timelines, addresses stakeholder issues, and identifies opportunities to improve cloud security through automation and emerging technologies.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Leads AWS cloud infrastructure and operations delivery for client environments. Manages project planning, budgets, timelines, architecture, migrations, network deployments, incident resolution, service management, and operational readiness. Reviews technical deliverables, improves operations through automation and AI-enabled workflows, builds client relationships, communicates risks and status, and mentors junior professionals. The role requires at least five years of cloud infrastructure delivery experience, including two years leading enterprise-scale AWS work.

Leads client-facing AWS cloud infrastructure and operations engagements, including platform design, deployment, networking, security controls, migration planning, and modernization. Advises clients on cloud strategy, landing zones, architecture patterns, and solution economics. Oversees complex workstreams, validates technical outcomes, manages delivery risks, communicates with stakeholders, and coaches teams in cloud engineering and operational practices.