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Director Ai Operations Jobs in Virginia (NOW HIRING)

Mission Lane

Operations Senior Manager, AI

Richmond, VA · On-site +1

$136K - $162K/yr

... the Sr. Director of Operations. Every time a Mission Lane customer interacts with our contact ... AI is central to how we keep improving that experience for our customers. That's the work of the ...

Jobtailor

AI Director

Reston, VA · On-site

$150 - $200/hr

POSITION SUMMARY The AI Director is the senior thought leader on AI for FS-ISAC and its members ... FS-ISAC's operations. This role combines strategic advisory, industry convening, and program ...

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Director Ai Operations information

What is a director AI operations?

A Director of AI Operations is a senior leader responsible for overseeing and managing the implementation, maintenance, and optimization of artificial intelligence systems within an organization. They bridge the gap between technical AI teams and business objectives, ensuring that AI initiatives align with company goals. Their role often includes managing AI projects, setting strategy, ensuring ethical use of AI, and coordinating cross-functional teams. Directors of AI Operations also monitor AI performance and ensure compliance with relevant regulations and standards.

What are the key skills and qualifications needed to thrive as a director AI operations?

To excel as a Director of AI Operations, you need advanced expertise in artificial intelligence, machine learning, and data analytics, often supported by a degree in computer science or a related field and substantial leadership experience. Familiarity with AI development platforms, cloud computing services (like AWS or Azure), and project management tools, as well as relevant certifications such as PMP or AI/ML certificates, is highly valuable. Strategic thinking, strong leadership, and excellent communication skills are crucial for guiding teams and aligning AI initiatives with business objectives. These competencies ensure effective deployment of AI solutions, drive innovation, and support organizational goals through data-driven decision-making.

What are some common challenges faced by a director AI operations, and how can they be addressed?

A Director of AI Operations often navigates challenges such as scaling AI solutions across departments, ensuring data privacy and compliance, and aligning AI initiatives with business objectives. Effective communication with stakeholders, fostering cross-functional collaboration, and maintaining agile processes are key to overcoming these obstacles. Additionally, staying updated on evolving AI technologies and regulatory standards helps ensure that AI operations remain both innovative and compliant.

What are the most commonly searched types of Ai Operations jobs in Virginia?

The most popular types of Ai Operations jobs in Virginia are:

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For Director Ai Operations jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Director Ai Operations jobs in Virginia are:

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Director Ai Operations jobs near you

Director, AI Engineering

Venture Global, Inc.

Arlington, VA • On-site

Full-time

Posted 11 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Director, AI Engineering
Located:
Arlington
Summary
The Director of AI Engineering is responsible for building and leading Venture Global's AI Engineering function. This leader will define the strategy, architecture, and operating model for deploying AI agents and machine learning systems across the enterprise, spanning cloud and secure on-premises environments. The Director will stand up the platform, hire and lead a team of senior AI engineers and machine learning engineers, and partner closely with Data Engineering, Data Science, and business stakeholders to translate operational and commercial needs into deployed, revenue-generating and insight-driving AI solutions. This is a hands-on leadership role: the Director is expected to personally drive architecture decisions, build early prototypes, and set engineering standards. The Director will champion a safety-conscious, security-first posture in all AI deployments. The measures of an ideal candidate include technical depth, architectural judgment, people leadership, stakeholder communication, strategic thinking, and a strong bias for delivery. This new position will be based in our Arlington, VA headquarters and report to the Vice President of Software Engineering and Enterprise Analytics. The position is full-time in office located in Arlington, VA.
General Description Duties & Responsibilities
  • Define and execute the AI engineering strategy, roadmap, and operating model for the enterprise, aligned to business and operational priorities.
  • Build, lead, and mentor a team of senior AI engineers, platform engineers, applied AI engineers, and machine learning engineers.
  • Architect scalable, secure infrastructure for AI agent development and deployment across cloud and on-premises environments.
  • Lead the strategy for self-hosted open-weight large language models (LLMs), including model selection, fine-tuning, quantization, and serving optimization, while integrating commercial API-based models where appropriate.
  • Establish the reference architecture and engineering standards for agentic systems that analyze both batch and streaming data for operational and commercial use cases.
  • Partner with Data Engineering on ontology and semantic model design to ground AI systems in trusted enterprise data.
  • Oversee procurement of GPU servers and AI infrastructure, managing vendor relationships, capacity planning, and budget.
  • Partner with business unit leaders to identify and prioritize high-value AI use cases and drive them from concept to production.
  • Explore and enable development of custom machine learning models alongside LLM-based approaches.
  • Establish MLOps/LLMOps practices, model governance, monitoring, and documentation standards for maintainability and reliability.
  • Collaborate with IT and security leadership to operate within energy-sector security and governance frameworks.
  • Report on team performance, project outcomes, and business impact to executive leadership.

Qualifications
  • 10+ years of experience in software, data, or machine learning engineering, including 3+ years leading technical teams.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field of study.
  • Demonstrated experience architecting and deploying production AI/ML systems at enterprise scale.
  • Hands-on experience with large language models, including self-hosting open-weight models and serving optimization (e.g., quantization, inference optimization, GPU utilization).
  • Experience designing and deploying agentic AI systems and the frameworks/patterns that support them.
  • Strong proficiency in Spark, Python and modern AI/ML tooling.
  • Experience building on cloud platforms and on-premises GPU infrastructure.
  • Proven ability to hire, lead, and mentor high-performing engineering teams.
  • Experience with infrastructure procurement, capacity planning, and vendor management.
  • Excellent interpersonal and communication skills, with the ability to translate technical concepts for executive and business audiences.
  • Strong work ethic with the ability to effectively prioritize, meet deadlines, adapt to changing priorities, and succeed in a fast-paced environment.

Preferred Qualifications
  • Advanced degree in a quantitative or technical discipline.
  • Experience with Databricks and streaming data platforms.
  • Experience deploying AI/ML solutions in or adjacent to operational technology (OT), industrial, or safety-critical environments.
  • Experience with ontology and semantic modeling approaches.
  • Familiarity with agent frameworks (e.g., LangGraph, CrewAI, or custom orchestration).
  • Experience in the energy, LNG, manufacturing, or heavy industrial sectors.
  • Experience utilizing DevOps/MLOps practices and tooling.
  • Strong technical writing skills.

Salary Range
$221,000 - $260,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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