VP of Engineering(Austin based

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters - improving lives. We're growing fast and looking for bold, driven teammates to join us.

We're seeking a transformative Head of Engineering to lead and scale our engineering teams as we accelerate adoption across major health systems, payers, and provider networks. This is an extremely mission-critical role for someone who’s equal parts builder and a technology leader - ready to execute vision laid out by the leadership and product teams, get hands dirty to help expand, secure our scalable Agentic AI platform, grow a high-performing team, and ship enterprise-ready AI products that reshape how healthcare works.

Working with the CTO office, you’ll set the technical vision, lead cross-functional execution, and ensure we deliver with speed, quality, and resilience. If you’ve worked at the intersection of AI, healthcare infrastructure, and mission-critical systems - and you’re ready to go deep and lead from the front.

• Define and evolve our platform and product roadmap aligned with business priorities and customer expectations
• Guide architectural decisions across ML pipelines, APIs, and enterprise integrations
• Work closely with leaders to collaborate and execute on the product vision
• Be a partner to Product and sales/go-to-market leaders to align platform investments with business outcomes.
• Own infrastructure scalability (Kubernetes on various clouds), data security, and compliance (HIPAA, HITRUST, SOC2) working with CISO

• Own and evolve a high-leverage engineering org structure that scales across geographies and product lines.
• Oversee best-in-class processes across CI/CD, code quality, information security, and observability to realize Agent Ops lifecycle
• Establish a release cadence by shipping product releases on a regular basis
• Identify and grow technical leaders, create pathways for autonomy, and eliminate process friction.
• Partner with customer solutions and forward deployment teams to accelerate delivery of product capabilities without sacrificing quality and stability
• Build for resiliency and scale in mind - not just speed. You reduce toil through automation and uplift long-term system health.

• Act as the face of Engineering with strategic customers, demonstrating deep platform knowledge and inspiring confidence
• Understand customer infrastructure needs into scalable product capabilities that can be easily configured for customer deployments
• Ensure our platform can support high-volume clinical workflows, interoperability, and analytics by creating and testing capabilities
• Align GTM, Product, and Customer Ops to ensure delivery excellence and rapid iteration on feedback

• 10+ years of engineering experience, including 5+ in leadership roles building enterprise Data and AI systems
• Built and led teams working with healthcare payers and/or large provider systems in a fast-paced setting like startups
• Deep understanding of enterprise healthcare infrastructure, ML and data pipelines, and APIs (e.g. HL7, FHIR, EHR integrations), Application integration such as QNXT, Pega, Salesforce
• Strong track record of shipping secure, compliant, production-grade software in health tech

• Prior experience in AI/ML infrastructure or knowledge automation using Agentic AI and Generative AI technologies and frameworks
• Working knowledge of Generative AI patterns such as RAG, GraphRAG as well as prompt engineering best practices
• Familiar with tools Kubernetes, Keda, Kafka, Agentic AI frameworks like Lang Graph, Langchain, Llama Index, database technologies including fitment of product needs, and modern Dev Sec Ops  stacks
• Help with navigating enterprise security, info sec. audits and vulnerabilities by automating common Dev Sec Ops  processes within the toolchain
• Deep expertise is setting up scalable workload configurations in Kubernetes using common…