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Head of AI - AI-Native Healthcare SaaS | Zenara Health

1 month, 1 week ago
India
Full-time
Lead
AI Engineer
Software Development
HIPAA Machine Learning
Apply Now
Zenara

Zenara

Zenara provides a solution that transforms the intake process into an efficient and profitable system for behavioral health, addressing challenges such as delays, fragmented tools, and inadequate preparation for clinicians, ultimately enhancing patient...

Health Care Providers & Services
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Description

  • Establish the AI roadmap and architecture across the assessment tool, care/practice platform, and AI infrastructure framework.
  • Lead production AI engineering efforts for LLM orchestration, clinical NLP, assessment scoring, and AI-generated clinical insights.
  • Build, hire, coach, and manage an AI engineering team that grows from one direct report to 3-4 members.
  • Design and implement scalable AI pipeline infrastructure with monitoring, testing, alerting, and incident response.
  • Review pipelines, troubleshoot orchestration failures, and make model selection and build-vs-buy decisions.
  • Track, analyze, and optimize AI costs, including inference spend, token usage, and per-workflow/per-customer economics.
  • Create observability, logging, traceability, and debugging mechanisms for AI decisions and pipeline behavior.
  • Develop AI engineering documentation, playbooks, runbooks, testing standards, and repeatable processes.
  • Assess and adopt new models, frameworks, and orchestration tools as the field evolves.
  • Establish AI governance practices to support clinical compliance and production reliability.

Requirements

  • 8 to 14 years of software engineering experience, including at least 3 years leading AI/ML teams in industry.
  • Proven experience delivering AI products to real users.
  • Hands-on experience with production-scale LLM orchestration frameworks such as Dify, LangChain, LlamaIndex, or equivalent.
  • Experience deploying AI in healthcare or other regulated environments and navigating compliance challenges.
  • Strong systems and architecture background focused on scalability, reliability, and cost efficiency.
  • Experience with agentic AI workflows and AI-assisted coding pipelines.
  • Experience managing and developing teams of 2 to 5+ AI engineers, including hiring, performance management, and mentoring.
  • Excellent English communication skills with an async-first approach and strong written documentation habits.
  • Startup or fast-paced growth experience in uncertain, resource-constrained environments.
  • Preferred: healthcare SaaS experience, including EHR, billing, clinical workflows, or HIPAA.
  • Preferred: knowledge of clinical NLP and behavioral health applications.
  • Preferred: experience building AI infrastructure platforms beyond standalone applications.
  • Preferred: familiarity with observability and monitoring strategies for AI systems.
  • Preferred: experience managing AI cost budgets and optimizing inference costs.
  • Nice to have: understanding of FHIR/HL7 data standards, multi-tenant SaaS AI deployments, SOC 2, mental health or behavioral health, or FDA AI/ML compliance regulations.

Benefits

  • Salary range of ₹50-70 LPA, based on skills and responsibilities.
  • Fully remote work available across India.
  • Equipment allowance provided.
  • Local holidays in India are recognized and observed.
  • Flexible paid time off policy.
  • Funding for leadership development and coaching.
  • Direct and frequent communication with the CEO.
  • Opportunity to build an AI organization from the ground up in a clinically relevant field.

Interested in this position?

Apply directly on the company website

Apply Now

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