Top Tech Jobs & Startup Jobs in Austin, TX

Leads enterprise AI architecture across generative AI, agentic systems, RAG, control planes, governance, security, evaluation, deployment, and operations. Defines reusable reference architectures, lifecycle controls, runtime policies, observability, cost governance, and production-readiness standards. Partners with product, engineering, security, risk, and compliance teams; evaluates emerging models and frameworks; creates proofs of concept; mentors architects; and guides secure, resilient, compliant AI delivery in a regulated financial-services environment.

Supports LPL Financial’s strategic technology partnership ecosystem by managing vendor partnership processes, onboarding new partners, maintaining pipeline records, coordinating cross-functional initiatives, and tracking financial and adoption metrics. The role interfaces with advisors and vendors, researches fintech trends, supports strategic prioritization, and fosters relationships with startups, venture capital firms, and emerging technology communities.

Manage a large pipeline of prospective and existing strategic partners through evaluation, diligence, contracting, approval, onboarding, launch, and growth. Build relationships across internal teams and external executives, assess commercial and strategic value, develop business cases, support pricing and revenue-sharing discussions, resolve dependencies, and provide leadership with pipeline insights and recommendations.

Develops scalable back-end workflow applications and microservices using Java, Spring Boot, REST APIs, Kafka, PostgreSQL, Docker, and Camunda 8. Builds tested features, APIs, and event-driven services; collaborates on architecture and code reviews; supports internal users; works with stakeholders to resolve defects and deliver enhancements; and improves engineering processes. The role also involves cloud deployment on AWS and Kubernetes, workflow orchestration, and maintaining service-level objectives.

Leads Site Reliability Engineering and DevOps teams building enterprise observability, AI-driven operations, automation, and reliability platforms. Establishes SLOs, SLIs, error budgets, monitoring standards, and governance; oversees Dynatrace-based logs, metrics, traces, and dashboards; drives predictive monitoring, intelligent alerting, self-healing, infrastructure as code, cloud adoption, incident management, and cross-functional reliability initiatives.

Leads strategy, roadmap, and lifecycle management for an intelligent data layer supporting enterprise AI. Oversees reusable data products, semantic models, knowledge retrieval, enterprise search, knowledge graphs, RAG, and GraphRAG capabilities. Partners with engineering, data science, AI application, and business teams to deliver production use cases, establish governance and quality measures, manage investment decisions, and develop product management teams.

Leads enterprise data engineering teams and roadmaps spanning orchestration, observability, batch modernization, and legacy workload migration. Oversees architecture, delivery, reliability, testing, deployment, and production support for large-scale data platforms and pipelines. Establishes engineering standards, partners across technical and business teams, develops talent, manages vendors, and evaluates emerging technologies. Requires deep AWS, infrastructure-as-code, orchestration, modern and legacy data environment, and enterprise platform leadership experience.

Lead enterprise strategy, roadmap, and adoption of agentic capabilities across the product development lifecycle. Redesign workflows, integrate customer evidence with product delivery, establish governance for agent autonomy and human review, evaluate build-versus-buy options, and pilot scalable practices with cross-functional teams. Develop product managers, drive organizational adoption, and measure improvements in learning speed, release quality, rework, review effort, cost, and accountability.

Own the vision, strategy, roadmap, and outcomes for an enterprise AI Consumption Management platform. Translate Finance and stakeholder needs into workflows, reporting, data requirements, and product capabilities covering usage, costs, attribution, budgets, and forecasts. Lead cross-functional delivery, dashboard validation, backlog prioritization, financial reconciliation, rollout, and adoption while partnering with engineering, architecture, data, AI platform, governance, Risk, and business teams.

Leads a distributed production support team responsible for the stability, monitoring, incident resolution, change governance, and operational readiness of customer-facing financial platforms. Oversees ServiceNow queues, ITIL incident and problem management, releases, disaster recovery exercises, executive communications, operational reporting, and continuous improvement. Manages team development, knowledge transfer, cross-functional partnerships, and support coverage while ensuring audit-ready documentation and reliable Level 2/3 application support.