Head of AI
Niuro
This strategic leadership role drives the vision, execution, and operationalization of artificial intelligence initiatives across multiple business functions. You will lead and scale high-performing teams of AI, machine learning, and data engineers, establishing a robust hub-and-spoke operating model to embed generative AI capabilities throughout the platform and solutions.Partnering closely with cross-functional executive leaders, you will guide architectural decisions for scalable ML systems, data pipelines, and model governance frameworks. This position requires balancing high-level strategic planning with technical execution to deliver measurable business outcomes and ensure the responsible, ethical use of AI technologies.
Responsibilities
- Define, evolve, and execute the comprehensive AI strategy and roadmap in alignment with long-term business goals.
- Lead, mentor, and scale high-performing teams of AI, machine learning, and data engineers.
- Establish a hub-and-spoke operating model to drive generative AI initiatives across cross-functional business units.
- Guide architectural decisions for scalable AI/ML systems, data pipelines, model governance, and deployment frameworks.
- Partner with executive leaders to conduct build-versus-buy assessments and prioritize technical programs.
- Ensure responsible, secure, and ethical use of AI by establishing governance frameworks for model quality, bias mitigation, and compliance.
- Define and track KPIs to measure the operational efficiency, ROI, and business value delivered by AI investments.
Requirements
- 10+ years of professional experience in engineering or IT, with 8+ years specifically building, scaling, and deploying AI/ML systems in production environments
- 3+ years of direct leadership experience managing machine learning engineers, data practitioners, or AI teams
- C2 English level or higher
- Proven track record of defining and executing AI strategies that drive measurable product and business outcomes
- Strong technical foundation in machine learning, data architecture, distributed systems, and modern AI tooling, including LLMs and cloud platforms
- Ability to work onsite in San Jose, CA
- Hands-on experience with Deep Learning, Generative AI, Model Governance, MLOps.
Vacancy posted 2 days ago
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