Vice President, Data & AI Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and implement Powerfleet’s strategy, roadmap, and priorities for Data & AI engineering in alignment with business and product goals.

• Create scalable, secure, and cost-effective architectures for enterprise data, AI/ML, GenAI, and AI-driven applications.

• Develop a robust data foundation that supports analytics, machine learning, real-time intelligence, and AI applications.

• Encourage the use of common platforms, reusable services, APIs, and engineering practices while fostering innovation.

• Provide guidance to executive leadership on emerging AI capabilities, potential opportunities, risks, and technology investments.

• Oversee the development and implementation of AI/ML, GenAI, AI agents, intelligent automation, and associated technologies.

• Create frameworks and platforms to transition AI solutions from experimentation to production.

• Enhance MLOps/LLMOps, model evaluation, observability, governance, and capabilities to ensure reliable AI at scale.

• Build and lead a high-performing global Data & AI engineering team across various disciplines and regions.

• Collaborate with Security, Legal, Privacy, Risk, and other stakeholders to ensure AI governance and responsible AI practices.

• Set metrics for platform adoption, engineering productivity, reliability, cost efficiency, and AI impact.

• Manage technology investments, strategic vendor relationships, and make build-versus-buy decisions within the Data & AI domain.

• Communicate strategy, progress, opportunities, and risks to executive leadership and key stakeholders.

⛳️ Requirements

• Over 15 years of experience in technology or engineering, with substantial experience in data, software, cloud, platform, or AI engineering.

• More than 7 years of leadership experience in building and directing engineering teams, ideally in global or distributed settings.

• Proven experience in developing enterprise data and AI platforms, architectures, and engineering strategies.

• Strong understanding of contemporary data platforms, cloud technologies, data engineering, distributed systems, AI/ML, and software engineering.

• Familiarity with current GenAI patterns such as LLMs, RAG, agents, orchestration, evaluation, and AI observability.

• Excellent executive communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field.

• An advanced degree is preferred.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• A dynamic and inclusive work environment that fosters innovation.