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Gafsgi
Director, AI and Intelligent Automation
Career Insights for Artificial Intelligence Engineer (General)
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Based on New Jersey data
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$129,894 / year median in New Jersey
Job Description
At GAF, we cover more than buildings. We cover each other. No matter what role, tenure, or track, under this roof you are empowered to be there for your teammates, your customers, and especially your community. Under this roof, we don't back down from hard work
- we support one another in pursuit of something bigger.
- from individual productivity aids to robust, automated enterprise solutions that drive systemic efficiency and measurable financial returns. Essential Duties Vision and Execution Strategy
- Define and own the execution strategy for the enterprise AI roadmap, ensuring alignment with the overarching vision to position AI as a "Technology Multiplier" for people and processes.
- Facilitate alignments and deliverables on AI automation across all business functions
- Manage the full innovation lifecycle: from initial "Culture Core" engagement to scaled "Enterprise Deployment" of custom Agentic workflows. Solution Design & Engineering Oversight
- Oversee the development and deployment of Generative & Agentic AI solutions, including custom RAG (Retrieval-Augmented Generation) repositories and autonomous multi-agent workflows.
- Guide the technical team in building robust Computational AI models, such as simulations for R D, supply chain, and manufacturing optimizations.
- Establish reusable technical patterns and platform controls to ensure scalable and reliable AI operations. AI Governance & Risk Management
- Partner with Cyber Security, Legal, and Procurement to establish and enforce robust governance frameworks for responsible AI adoption.
- Lead the evaluation of third-party AI solutions through comprehensive questionnaires to ensure compliance with enterprise security and data privacy standards.
- Define success metrics and KPIs for AI implementations, monitoring performance, user adoption, and ROI.
- Review AI use cases for viability and financial returns. Enablement & Change Management
- Co-Launch and co-lead the Data and AI Academy to provide role-based, tiered education on AI practices and tools for the entire workforce.
- Democratize innovation by managing the "Idea Collection Engine," systematically capturing and evaluating high-ROI pain points directly from employees.
- Act as the critical bridge between technical engineering teams and non-technical business stakeholders. Qualifications Required Bachelor's Degree is required 10 + years relevant experience Technical Expertise
Advanced AI Literacy:
Deep conceptual and practical understanding of LLMs, Retrieval-Augmented Generation (RAG), and agentic orchestration frameworks.Programming & Frameworks:
Proficiency and experience with orchestration tools such as LangChain, LlamaIndex, or AutoGen.Architectural Knowledge:
Familiarity with vector search and storage solutions (e.g., Vertex AI Search) and API integration strategies.Leadership & Strategy Architectural Knowledge:
Familiarity with vector search and storage solutions (e.g., Vertex AI Search) and API integration strategies.Lead:
Effectively lead a team of AI process engineers and builders including the ability to define and manage budgets and demand vs capacity. Influence thought leadership and work across all functions to drive and enable AI use cases.Business Analysis:
Exceptional ability to map complex business processes and identify viable candidates for AI integration.Agile Methodology:
Experience managing project backlogs, writing robust technical documentation, and leading cross-functional teams in a fast-paced environment.Communication:
Proven ability to translate highly technical concepts for executive audiences and non-technical business units. General Knowledge, Skills and Abilities Future Roadmap Focus The Director will lead the transition into 2026+ Plans, which include:- Expanding the availability of AI agents across various domains for both interactive and programmatic users.
- Establishing native AI connections with core enterprise applications such as SAP and Salesforce
- Scaling AI-driven predictive insights and simulations from POC to fully active, high-impact business products.
Base Salary Range:
$176,000- 242,000