Head of AI

Job Description

Our client is a global leader in AI-driven industrial reliability helping asset-heavy industries prevent unplanned downtime through advanced diagnostics predictive maintenance and actionable insights. Their platform combines industrial expertise sensor data and machine learning at scale to deliver measurable ROI for manufacturers worldwide. AI is central to their product strategy and long-term advantage.

Role Overview (Fully remote USA)

We are seeking an AI leader to define and scale our clients AI/ML strategy architecture and this role you will turn large-scale industrial data into reliable explainable production-ready AI systems that drive real-world impact across manufacturing environments.

You will operate at the intersection of AI industrial systems product and business leading teams that build models customers trust for mission-critical decisions.

Key Responsibilities

AI Strategy & Vision

• Define and own the AI roadmap aligned with product and business strategy
• Identify opportunities to apply ML deep learning signal processing and GenAI to asset reliability and maintenance workflows
• Drive the evolution from predictive prescriptive autonomous decision systems

Model Development & Deployment

• Lead development of fault detection anomaly detection remaining useful life (RUL) and root cause analysis models
• Build and deploy production-grade ML systems handling noisy real-world industrial data
• Ensure models are robust explainable and trusted by customers in safety-critical environments
• Own model lifecycle: experimentation validation deployment monitoring retraining

Data & Platform Leadership

• Partner with data engineering to scale pipelines for time-series vibration acoustic thermal and contextual data
• Define best practices for MLOps model observability drift detection and performance SLAs
• Champion AI architecture choices that scale globally across plants geographies and asset classes

Team Building & Leadership

• Build mentor and lead a high-performing team of ML engineers data scientists and applied researchers
• Establish strong engineering and scientific rigor while balancing speed and impact
• Foster collaboration across product engineering reliability experts and customer teams

Product & Customer Impact

• Work closely with product leadership to translate AI capabilities into customer-facing value
• Support enterprise customers in explaining model outputs and building trust in AI-driven recommendations
• Partner with sales and customer success on strategic accounts where AI differentiation matters

Innovation & Thought Leadership

• Stay ahead of advances in industrial AI time-series ML edge AI and GenAI
• Evaluate academic research and emerging technologies for real-world applicability
• Represent the company as an AI thought leader with customers partners and at industry forums

Required Qualifications

• 5 to 10 years of experience in AI/ML data science or applied research
• Strong hands-on background in:
  • Machine learning for time-series / sensor data
  • Anomaly detection forecasting or predictive modeling
• Experience deploying ML models into production at scale
• Deep understanding of MLOps model monitoring and reliability
• Proven ability to lead cross-functional teams and influence product direction
• Strong communication skills able to explain complex models to non-technical stakeholders
• Fully remote role anywhere from USA

Preferred Qualifications

• Experience in industrial IoT manufacturing energy oil & gas or asset-heavy industries
• Exposure to vibration analysis condition monitoring or reliability engineering
• Experience with edge AI or hybrid cloud-edge architectures
• Familiarity with GenAI / LLMs applied to diagnostics knowledge systems or decision support
• Prior experience scaling AI in a B2B SaaS environment