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Director of AI Engineering
Group Nine LLC
3 hours ago
Full-time
On-site
Arlington, Virginia, United States
Director Of Ai Engineering
Location: Arlington, VA Client Domain: Oil & Gas Build and lead AI Engineering function from the ground up. Set strategy, stand up infrastructure, hire the team, and deliver AI agents that analyze operational and commercial data to drive efficiency, revenue, and insight. This is a hands-on leader, not a pure people manager; in that you'll personally drive architecture and early builds until the team is staffed. 10+ years in software/data/ML engineering, including 3+ years leading technical teams Hands-on, current experience deploying production AI/ML systems at enterprise scale Direct experience with large language models. Specifically self-hosting open-weight models (not just calling commercial APIs) and serving optimization (quantization, inference optimization, GPU utilization) Experience designing and deploying agentic AI systems Experience with both cloud and on-premises GPU infrastructure Proven ability to hire and lead high-performing engineering teams Experience with infrastructure procurement / capacity planning / vendor management Databricks experience Experience deploying AI/ML in or near operational technology (OT), industrial, or safety-critical environments Ontology / semantic modeling familiarity
Location: Arlington, VA Client Domain: Oil & Gas Build and lead AI Engineering function from the ground up. Set strategy, stand up infrastructure, hire the team, and deliver AI agents that analyze operational and commercial data to drive efficiency, revenue, and insight. This is a hands-on leader, not a pure people manager; in that you'll personally drive architecture and early builds until the team is staffed. 10+ years in software/data/ML engineering, including 3+ years leading technical teams Hands-on, current experience deploying production AI/ML systems at enterprise scale Direct experience with large language models. Specifically self-hosting open-weight models (not just calling commercial APIs) and serving optimization (quantization, inference optimization, GPU utilization) Experience designing and deploying agentic AI systems Experience with both cloud and on-premises GPU infrastructure Proven ability to hire and lead high-performing engineering teams Experience with infrastructure procurement / capacity planning / vendor management Databricks experience Experience deploying AI/ML in or near operational technology (OT), industrial, or safety-critical environments Ontology / semantic modeling familiarity