The OpportunityWe'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 ResponsibilitiesTechnical 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 ApplySend 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!
