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Artificial Intelligence

Summary

Role	Director of AI Engineering
Location	Arlington, VA (100% Onsite)
Duration	Full-Time ROLE
Interview Note	Greenfield AI Engineering team. Will build and lead the AI Engineering function, hire the team, define AI strategy and architecture, and remain hands-on with AI/ML system design and early implementation.

Qualifications (Required)

10+ years of experience in Software Engineering, Data Engineering, or Machine Learning Engineering, including 3+ years leading technical teams.
Hands-on experience designing, building, and deploying production AI/ML systems at enterprise scale.
Advanced experience with Large Language Models (LLMs) including:
- Self-hosting open-weight models
- Model serving
- Quantization
- Inference optimization
- GPU utilization
Experience designing and deploying Agentic AI systems.
Strong experience with both Cloud and On-Prem GPU infrastructure.
Proven experience hiring, building, and leading high-performing engineering teams.
Experience with AI infrastructure procurement, capacity planning, and vendor management.
Ability to define AI strategy, architecture, engineering standards, and build AI platforms from the ground up.
Hands-on technical leadership with the ability to drive architecture and early development efforts while growing the team.

Preferred Skills

Databricks
Experience deploying AI/ML solutions in Operational Technology (OT), Industrial, or Safety-Critical environments.
Ontology / Semantic Modeling

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091709
Position Id: TP 1310-1319-1784582528
Posted 1 day ago

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FULL-TIME Role || Director Of AI Engineering

Skills

Summary

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FULL-TIME Role || Director Of AI Engineering

Job Details

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Summary

Dice Job Match Score™

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