Director of Engineering & AI Operations

Remote

NIVA Health (US based healthcare organization) is seeking a highly technical, hands-on Director of Engineering & AI Operations to lead engineering execution, oversee our proprietary agentic AI platform, and drive delivery of strategic technology initiatives.

This role serves as the primary technical partner to company leadership, translating business priorities into scalable solutions while managing a small team of Full Stack Engineers. The ideal candidate combines strong software engineering expertise with project leadership capabilities and thrives in a fast-paced, high-growth environment.

This is a high-impact role focused on execution, innovation, and operational excellence.

Key Responsibilities

Engineering Leadership

• Provide technical direction, mentorship, and accountability.
• Establish engineering standards, workflows, and best practices.
• Support hiring, onboarding, and development of engineering talent.

Project Delivery & Execution

• 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.

AI Platform Operations

• 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.

Technology & Infrastructure

• 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

Qualifications

• Degree in Computer Science or Software Engineering.
• 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, particularly Google Cloud Platform (GCP).
• Experience with clinical operations or other patient-facing healthcare environments.
• Proven ability to operate effectively in startup or high-growth environments.
• Experience collaborating directly with founders and executive leadership.

Benefits