Autonomize AI · 5 months ago
Head of Engineering
Austin, TX
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expAutonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We are seeking a transformative Head of Engineering to lead and scale our engineering teams, ensuring the delivery of enterprise-ready AI products that reshape how healthcare works.
Artificial Intelligence (AI)Health CareInformation TechnologyMedical
Responsibilities
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 AgentOps 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
Review and optimize costs on infrastructure spend by creating dashboards with visibility into real-time spend metrics across SaaS and internal environments
Optimize spend by evaluating instance types, GPU instances, execution patterns such as batch jobs for long running processes
Ensure faster installation of our platforms using IaC best practices such as Helm, Terraform automation resulting to a one-click deployment option or developing Agents
Streamline environments from creation to de-commissioning them across internal and customer environments
Establish quality gates from developer workstations to build systems using known tools such as Pylint, Pytest, SonarCube, Snyk
Qualification
Required
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 LangGraph, Langchain, LlamaIndex, database technologies including fitment of product needs, and modern DevSecOps stacks
Help with navigating enterprise security, info sec. audits and vulnerabilities by automating common DevSecOps processes within the toolchain
Deep expertise is setting up scalable workload configurations in Kubernetes using common best practices such as pod and node autoscaling
Review and optimize costs on infrastructure spend by creating dashboards with visibility into real-time spend metrics across SaaS and internal environments
Optimize spend by evaluating instance types, GPU instances, execution patterns such as batch jobs for long running processes
Ensure faster installation of our platforms using IaC best practices such as Helm, Terraform automation resulting to a one-click deployment option or developing Agents
Streamline environments from creation to de-commissioning them across internal and customer environments
Establish quality gates from developer workstations to build systems using known tools such as Pylint, Pytest, SonarCube, Snyk
Own it end-to-end: You take full responsibility, drive outcomes, and ship with excellence
Move with purpose: You prioritize speed, clarity, and impact over perfection
Elevate the team: You mentor others, simplify complexity, and build trust through action
Think bold, act bold: You challenge assumptions, raise the bar, and take smart risks
Benefits
100% employer-paid health, vision, and dental insurance
Retirement plans (401k for US)
Disability insurance
Employee assistance programs
Company
Autonomize AI
Autonomize AI uses AI Agents to simplify some of healthcare’s most complex processes, transforming them into AI-native operations.
51-200 employees
H1B Sponsorship
Autonomize AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
$32MKey Investors
Asset Management Ventures (AMV)
2025-06-12Series A· $28M
2023-04-10Seed· $4M
Leadership Team
Ganesh Padmanabhan
Founder & CEO
Laksh Krishnamurthy
Chief Technology Officer
Recent News
Beinsure - Insurance, Reinsurance, InsurTech Insights
2025-10-29
Company data provided by crunchbase