Fractional Engineering – AI Operations Lead

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NIVA Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare Insurance • Wellness • Healthcare

NIVA Health is a healthcare provider focused on natural pain relief and renewal through cutting-edge therapies. They specialize in a variety of treatments, including IV Vitamin Therapy, wound care, and solutions for conditions such as erectile dysfunction, joint pain, and neuropathy. With multiple locations, they aim to help patients avoid unnecessary surgeries and medications while promoting overall wellness and vitality.

📋 Description

• Provide technical direction, mentorship, and accountability. • Establish engineering standards, workflows, and best practices. • Support hiring, onboarding, and development of engineering talent. • Own the execution of technology initiatives submitted by executive leadership. • Translate business objectives into actionable project plans and technical deliverables. • Manage priorities, timelines, resources, and project outcomes. • Identify and resolve technical blockers, risks, and dependencies. • Oversee the operation, maintenance, and enhancement of NIVA Health's agentic AI platform. • Partner with leadership to identify opportunities for automation and AI-driven efficiencies. • Ensure platform reliability, scalability, performance, and continuous improvement. • Support deployment of new AI capabilities and workflows. • Provide oversight of cloud-based systems and application architecture, primarily within Google Cloud Platform (GCP). • Ensure solutions are secure, scalable, and aligned with business needs. • Drive documentation, technical governance, and operational excellence.

🎯 Requirements

• 5 - 7 years of software engineering experience. • 3+ years of engineering leadership or technical management experience. • Strong experience with Python and modern application development frameworks. • Experience managing engineering projects from concept through deployment. • Experience with AI-enabled applications, LLMs, automation tools, or agentic systems. • Experience working within cloud environments, preferably Google Cloud Platform (GCP). • Proven ability to operate effectively in startup or high-growth environments. • Strong communication skills with the ability to collaborate directly with founders and executive leadership.