G

GAF

Roofing products and sustainable systems

Director – AI and Intelligent Automation

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeParsippany-Troy Hills, NJ, USA

About the Job

Requirements

  • A bachelor's degree is required.
  • At least 10 years of relevant experience is required.
  • Have advanced conceptual and practical understanding of large language models, Retrieval-Augmented Generation, and agentic orchestration frameworks.
  • Have proficiency and experience with orchestration tools such as LangChain, LlamaIndex, or AutoGen.
  • Have familiarity with vector search and storage solutions, such as Vertex AI Search, and API integration strategies.
  • Be able to define and manage budgets and demand versus capacity for AI process engineers and builders, influence thought leadership, and work across functions to drive and enable AI use cases.
  • Be able to map complex business processes and identify viable candidates for AI integration.
  • Have experience managing project backlogs, writing technical documentation, and leading cross-functional teams in an agile environment.
  • Be able to translate technical concepts for executive audiences and non-technical business units.

Responsibilities

  • Define and own the execution strategy for the enterprise AI roadmap, aligning it with the vision of positioning AI as a technology multiplier for people and processes.
  • Facilitate alignment and deliverables for AI automation across business functions.
  • Manage the full innovation lifecycle, from initial culture engagement to scaled enterprise deployment of custom agentic workflows.
  • Oversee development and deployment of generative and agentic AI solutions, including custom Retrieval-Augmented Generation repositories and autonomous multi-agent workflows.
  • Guide the technical team in building computational AI models, including simulations for research and development, supply chain, and manufacturing optimization.
  • Establish reusable technical patterns and platform controls to support scalable and reliable AI operations.
  • Partner with cybersecurity, legal, and procurement teams to establish and enforce governance frameworks for responsible AI adoption.
  • Lead evaluation of third-party AI solutions using questionnaires to assess compliance with enterprise security and data privacy standards.
  • Define success metrics and key performance indicators for AI implementations, monitoring performance, user adoption, and return on investment.
  • Review AI use cases for viability and financial returns.
  • Co-launch and co-lead the Data and AI Academy, providing role-based, tiered education on AI practices and tools for the workforce.
  • Manage the Idea Collection Engine to capture and evaluate high-return employee pain points.
  • Bridge technical engineering teams and non-technical business stakeholders.
  • Lead the transition into the 2026-and-beyond roadmap, including expanding AI agents across domains for interactive and programmatic users, establishing native AI connections with enterprise applications such as SAP and Salesforce, and scaling AI-driven predictive insights and simulations from proof of concept to active business products.

About the Company

GAF

Roofing products and sustainable systems

GAF sells roofing products and systems for homes and commercial buildings, including shingles, TPO roofing, and Timberline with solar options. It works through independent contractors who install its products and offers certification programs, but does not directly employ installers. It differentiates itself with a large market share, broad product portfolio, installer certification, strong warranties, and a focus on sustainability to reduce waste and carbon emissions. Its goal is to provide durable roofing that protects buildings and supports long-term growth while advancing environmental responsibility.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Parsippany-Troy Hills, NJ
Founded
1886

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