Be an Early Applicant
AI that actually understands healthcare is transforming operations, one workflow at a time.
The Role
Leads and scales engineering for an enterprise Agentic AI platform serving healthcare payers and providers. Owns technical strategy, architecture, infrastructure scalability, security, compliance, DevSecOps, release execution, cost optimization, and customer deployment readiness. Builds high-performing global teams, partners with Product, CTO, Sales, and Customer Operations, and delivers resilient AI products supporting clinical workflows, interoperability, analytics, and enterprise integrations.
Summary Generated by Built In
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
- 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
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 [email protected]. We can’t wait to hear your story!
Skills Required
- 10+ years of engineering experience
- 5+ years in leadership roles building enterprise data and AI systems
- Experience building and leading teams serving healthcare payers and/or large provider systems
- Experience working in a fast-paced environment such as a startup
- Deep understanding of enterprise healthcare infrastructure
- Experience with ML and data pipelines
- Experience with APIs, HL7, FHIR, and EHR integrations
- Experience with enterprise application integrations such as QNXT, Pega, or Salesforce
- Strong track record shipping secure, compliant, production-grade software in health technology
- Experience with AI/ML infrastructure or knowledge automation
- Experience with Agentic AI and Generative AI technologies and frameworks
- Knowledge of RAG, GraphRAG, and prompt engineering
- Experience with Kubernetes, Keda, Kafka, LangGraph, LangChain, or LlamaIndex
- Experience with modern DevSecOps stacks and automating security processes
- Expertise configuring scalable Kubernetes workloads using pod and node autoscaling
- Experience optimizing cloud infrastructure and GPU-instance costs
- Experience with infrastructure as code using Helm and Terraform
- Experience establishing software quality gates using tools such as Pylint, Pytest, SonarQube, or Snyk
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.
