Autonomize
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.

The Opportunity

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.

Key Responsibilities

Technical Leadership & Strategy

  • 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

Team Building & Execution

  • 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.

Collaboration & Representation

  • 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

Must-Have Qualifications

  • 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

Technical Knowledge & Deep Expertise

  • 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

Efficiency & Streamlined Processes

  • 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

Culture Fit

  • 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

What We Offer


  • A chance to make a real impact in the future of healthcare

  • Autonomy, ownership, and the ability to chart your own growth path

  • Competitive compensation and benefits

  • 100% employer-paid health, vision, and dental insurance

  • Retirement plans (401k for US), disability insurance, employee assistance programs


To Apply


Send your resume and a short note about why you're excited about this role and how your financial leadership will shape the future of Autonomize AI to careers@autonomize.ai. We can’t wait to hear your story!
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