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Senior Ai Director Jobs (NOW HIRING)

Senior Software Engineer AI

Eagan, MN · Hybrid

$124K - $164K/yr

As a Senior AI Engineer, you'll bring deep technical expertise to that portfolio of work, owning ... Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool ...

Associate Director, Senior AI Engineer

Princeton, NJ · Hybrid

$109K - $150K/yr

We are seeking a hands on Sr. AI Platform Engineer (Associate Director) to collaborate and drive platform aligned AI outcomes across the enterprise. The role provides engineering leadership and AI ...

NC · On-site

$98K - $135K/yr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal ... data (Lakehouse, Direct Lake, shortcuts). * MLOps CI/CD, monitoring, evaluation, and cost ...

The Senior AI Security Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Security Architecture and Operations. Specific Responsibilities This role spans the full ...

Sr. AI Analytics Engineer

Marlborough, MA · On-site

$108K - $148K/yr

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * ... Proven ability to lead technical workstreams and influence solution delivery without direct people ...

Senior AI Data Analyst

Stafford, VA · On-site

$145K - $170K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon, directing an off-site data team and delivering analytics, modeling, and simulation products that inform ...

Senior AI Security Engineer

$117K - $160K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

Senior AI Security Engineer

San Diego, CA · On-site +1

$121K - $166K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

Senior AI Data Analyst

VA · On-site

$145K - $170K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon, directing an off-site data team and delivering analytics, modeling, and simulation products that inform ...

Senior AI Security Engineer

San Francisco, CA · On-site +1

$134K - $185K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

Senior AI Architect

$132K - $180K/yr

Senior AI Architect o9 is restructuring its technology organization around purpose-built ... Direct, fast, and exceptionally comfortable operating without bureaucratic approval chains. You ...

Senior AI Architect

Dallas, TX

$128K - $174K/yr

Senior AI Architect o9 is restructuring its technology organization around purpose-built ... Direct, fast, and exceptionally comfortable operating without bureaucratic approval chains. You ...

Senior AI Engineer - Americas

$107K - $146K/yr

This is for someone who can ship at the pace of a small team by directing AI coding agents, while still bringing the judgment, fundamentals, and technical ownership of a senior/staff-level engineer.

Senior AI Security Engineer

Boston, MA · On-site +1

$124K - $170K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

Sr AI & Technology Auditor

Houston, TX · On-site

$97K - $127K/yr

As a Sr AI & Technology Auditor, you will provide independent assurance over the company's AI ... years of direct experience auditing or governing AI/Machine Learning environments. • In-depth ...

Senior AI Security Engineer

Seattle, WA · On-site +1

$130K - $178K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

Showing results 41-60

Senior Ai Director information

See salary details

$25K

$80.3K

$163.5K

How much do senior ai director jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior ai director in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a senior AI director?

Senior AI Directors are high-level professionals responsible for overseeing the development and implementation of artificial intelligence strategies within an organization. They lead teams of data scientists, engineers, and AI specialists, guiding research and deployment of AI technologies to solve business problems. Their role often includes setting strategic vision, ensuring ethical AI practices, and collaborating with other leadership to align AI initiatives with business goals. Senior AI Directors typically have extensive experience in AI, machine learning, and leadership.

How does a senior AI director typically collaborate with cross-functional teams to drive AI initiatives within an organization?

A Senior AI Director plays a crucial role in aligning AI strategies with business objectives by working closely with cross-functional teams such as product management, engineering, data science, and executive leadership. They often lead the coordination between departments, ensuring that AI projects address real business needs and are technically feasible. This involves regular meetings, setting shared goals, and translating complex AI concepts for non-technical stakeholders. Effective communication and leadership are key, as the Senior AI Director must facilitate collaboration, manage expectations, and drive consensus across diverse teams.

What are the key skills and qualifications needed to thrive as a senior AI director, and why are they important?

To thrive as a Senior AI Director, you need deep expertise in artificial intelligence, machine learning, and data science, usually backed by an advanced degree in a related field and significant industry experience. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and project management tools is typically required, along with experience leading large technical teams. Exceptional leadership, strategic thinking, and communication skills are vital for aligning AI initiatives with business goals and fostering team collaboration. These skills and qualifications are crucial to drive innovation, ensure successful AI project delivery, and maintain organizational competitiveness.

What is the difference between Senior Ai Director vs Data Scientist?

AspectSenior Ai DirectorData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentStrategic leadership, overseeing AI projects, managing teamsData analysis, model development, statistical analysis
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including tech, finance, healthcare, focusing on data analysis

The Senior Ai Director typically leads AI initiatives, managing teams and setting strategic goals, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the Senior Ai Director emphasizes leadership and strategy, whereas Data Scientists concentrate on technical analysis and model development.

What cities are hiring for Senior Ai Director jobs?

Cities with the most Senior Ai Director job openings:

What are the most commonly searched types of Senior Ai jobs?

The most popular types of Senior Ai jobs are:

What states have the most Senior Ai Director jobs?

States with the most job openings for Senior Ai Director jobs include:

Director, AI Engineering

Venture Global, Inc.

Arlington, VA • On-site

Full-time

Posted 20 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.