2 months ago
Head Of AI Engineering & Enablement (Healthcare)
224 000 - 256 000$
Match & Cover letter
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Job description
Text:
TL;DR
Head of AI Engineering & Enablement (AI/MedTech): Leading internal AI strategy and hands-on development to re-engineer business workflows with an accent on multi-agent systems, RAG pipelines, and HIPAA-compliant automation. Focus on building scalable internal agents, driving organizational adoption, and decoupling growth from headcount as the company scales.
Location: Must be based in the United States (Remote)
Salary: $224,000 - $256,000 USD (Zone 1)
Company
is an all-in-one EHR and practice management platform built to streamline operations for independent healthcare practices.
What you will do
- Identify and prioritize high-impact AI use cases in partnership with executive leadership.
- Design and build production-grade internal agents, multi-agent systems, and RAG pipelines.
- Audit and re-engineer business processes to ensure efficiency before automation.
- Define governance, data-handling standards, and risk management for AI deployments.
- Coach functional teams to build their own routine automations and foster AI fluency.
- Maintain a library of reusable skills and frameworks to scale AI impact across the organization.
Requirements
- 8+ years of experience in software engineering, applied AI, or technical product roles.
- Hands-on coding ability with a track record of shipping production systems.
- Deep experience with multi-agent systems, RAG, and API integrations.
- Proven experience shipping AI in HIPAA-regulated environments.
- Strong business judgment and experience in process re-engineering.
- Must be authorized to work in the United States.
Culture & Benefits
- Competitive compensation with variable pay opportunities.
- Robust benefits package including healthcare and mental health resources.
- Support for work-from-home setups and wellness subsidies.
- Collaborative, entrepreneurial culture focused on simplifying healthcare.
- Commitment to diversity, humility, and continuous learning.
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