Vice President, Artificial Intelligence

Modern Health

23h•$244,000 - $330,000•Remote

About The Position

We are seeking a visionary and execution-focused VP of AI to lead the integration of artificial intelligence across our products and organization. This leader will define and drive the strategic roadmap to embed AI into our core product experience, unlocking meaningful differentiation and customer value while ensuring responsible, scalable adoption. The ideal candidate combines deep technical expertise with product intuition, operational rigor, and the ability to influence cross-functional stakeholders across the company.

Requirements

12+ years of experience in software engineering and technology leadership roles, with responsibility for delivering complex, high-impact systems.
Proven track record of bringing AI-enabled or data-driven capabilities into production products at scale.
Strong understanding of modern applied AI capabilities and how to integrate them into real-world systems to deliver business value.
Experience evaluating build vs. buy decisions and integrating third-party platforms and services.
Ability to translate complex technical concepts into clear product value, business impact, and user outcomes.
Experience establishing governance, security, and responsible use practices for emerging technologies.
Strong cross-functional leadership and stakeholder management skills, with the ability to align technical and non-technical partners.
Hands-on technical depth with a bias for execution and pragmatic problem solving.

Nice To Haves

Experience deploying technology solutions in regulated or privacy-sensitive environments is a strong plus.

Responsibilities

Define and execute the strategic roadmap to embed AI into our core product experience, enhancing differentiation, customer value, and market leadership.
Partner with Product and Design to identify high-impact opportunities where AI can meaningfully improve user outcomes and experiences.
Establish principles and guardrails to ensure AI capabilities are trustworthy, explainable, and aligned with company values.
Lead the delivery of high-priority AI initiatives from concept through production, ensuring measurable business impact.
Architect scalable AI solutions, including leveraging third-party models, building supporting infrastructure, and ensuring reliability and performance.
Maintain a strong bias toward practical implementation, rapid experimentation, and iterative improvement.
Partner with Product, Engineering, Security, Legal, Compliance, and Data teams to align on execution, governance, and risk management.
Establish operating models, workflows, and collaboration patterns that enable safe and efficient AI adoption.
Drive clear accountability, decision frameworks, and communication across stakeholders.
Engage directly with clients and strategic partners to build trust, communicate our AI approach, and incorporate external feedback into priorities and safeguards.
Champion the use of AI to improve engineering productivity, including AI-assisted coding, test generation and developer experience improvements.
Encourage experimentation and best-practice sharing to accelerate adoption across tech teams.
Measure and communicate productivity gains and impact.
Build foundational AI capabilities and infrastructure that can be reused across teams.
Establish patterns and tooling that enable teams to safely leverage AI without duplicating effort.