[Remote] VP, AI Engineering

Note: The job is a remote job and is open to candidates in USA. Axial Search is a specialist executive search firm focused on leaders who facilitate AI transformation within organizations. They are seeking a VP of AI Engineering to own the technical strategy for AI/ML initiatives, build a high-performing team, and ensure successful deployment of production AI/ML systems.ResponsibilitiesOwn the technical strategy and roadmap for AI/ML initiatives, setting priorities that align with business outcomes and company architecture constraintsBuild and lead a high-performing AI/ML engineering team, including hiring, mentoring, and creating a culture of rigor around model quality, data pipelines, and production reliabilityPartner with product, data science, and platform teams to translate business requirements into scalable ML systems and drive adoption across the organizationShip production AI/ML systems end-to-end—from problem definition and data strategy through deployment, monitoring, and continuous improvementEstablish engineering standards, MLOps practices, and governance frameworks that ensure models stay performant, auditable, and maintainable over timeCommunicate technical progress and blockers to non-technical stakeholders, securing resources and alignment on trade-offs between speed and robustnessEvaluate and integrate emerging ML tools, frameworks, and infrastructure—making deliberate choices on build versus buy for core platform componentsSkills10+ years of software engineering experience, with at least 5 years building, shipping, or leading AI/ML systems in production environmentsDemonstrated experience managing and growing engineering teams of 3+ people, with a track record of hiring talent and developing them into strong individual contributors or leadersStrong foundational understanding of machine learning workflows—data pipelines, feature engineering, model training, evaluation, and deployment—and how engineering decisions impact model performanceHands-on technical fluency across the ML stack: you've written code for model training, worked with common frameworks (PyTorch, TensorFlow, scikit-learn), and debugged data and model quality issuesExperience setting technical strategy, making architectural trade-offs, and translating business needs into engineering roadmaps at a team or organizational levelComfort communicating with both technical and non-technical audiences—explaining what's possible, what's risky, and what's worth buildingCompany OverviewTechnology doesn’t transform companies. People do. It was founded in undefined, and is headquartered in , with a workforce of 2-10 employees. Its website is https://www.axialsearch.com.