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Ai Director Jobs (NOW HIRING)

Emergent Software

AI Director

Fort Worth, TX · On-site +1

$190K - $210K/yr

Our client is putting AI at the center of its product strategy and is seeking an experienced AI Director to lead the architecture, roadmap, and delivery of customer-facing AI capabilities across its ...

Bakertilly

Consulting AI Director

New York, NY · On-site +1

$14.25 - $18.50/hr

This is a business leadership role-not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with ...

Bakertilly

Consulting AI Director

Orlando, FL · On-site

$12.25 - $15.75/hr

This is a business leadership role-not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with ...

Bakertilly

Consulting AI Director

Concord, NC · On-site +1

$12 - $15.75/hr

This is a business leadership role-not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with ...

Bakertilly

Consulting AI Director

$13.25 - $17.50/hr

This is a business leadership role-not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with ...

BetMGM LLC

The Director leads AI delivery through a Technical AI Director/Builder responsible for AWS-based platforms, agentic frameworks, and early use cases--ensuring solutions move efficiently from intake to ...

BetMGM

Director, Technical AI Solutions

New York, NY

The Director leads AI delivery through a Technical AI Director/Builder responsible for AWS-based platforms, agentic frameworks, and early use cases-ensuring solutions move efficiently from intake to ...

Quantium

Data Science & AI Director

Austin, TX · On-site

As we scale our AI Solutions capability, we're looking for a Director, Data Science & AI to lead the design and delivery of production-grade AI solutions from our growing Austin hub. As Director ...

Honorhealth

AI Trainer

Working alongside the AI Director and Program Manager - Workforce Productivity, the AI Trainer ensures that adoption, governance, and enablement move as one coordinated program. Because HonorHealth ...

Merjent, Inc.

AI Specialist

Minneapolis, MN · On-site

$127K - $145K/yr

Working closely with the AI Director, this position will help Merjent's 300+ employees understand, adopt, and effectively use AI tools in their day-to-day work while identifying opportunities to ...

Merjent, Inc.

$127K - $145K/yr

Working closely with the AI Director, this position will help Merjent's 300+ employees understand, adopt, and effectively use AI tools in their day-to-day work while identifying opportunities to ...

Harriscomputer

Director Development

Carolina, RI · Remote

Director, Development Location: Remote - U.S. Altera TouchWorks is seeking a high-impact Director ... This means governing the quality and correctness of AI-generated code output, enforcing ...

career

Finance Director

Mountain View, CA · On-site

$190K - $210K/yr

AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We're ...

career

Finance Director

Mountain View, CA · On-site

$190K - $210K/yr

AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We're ...

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Ai Director information

See salary details

$24K

$118.2K

$205.5K

How much do ai director jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai director in the United States is $118,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $153,000.00 per year, depending on experience, location, and employer.

What does an AI Director do?

An AI Director oversees the development and implementation of artificial intelligence strategies within an organization or project. Their responsibilities include managing AI teams, setting project goals, ensuring ethical AI practices, and integrating AI technologies to meet business objectives. They often collaborate with data scientists, engineers, and other stakeholders to drive innovation and solve complex problems using AI solutions.

What are the key skills and qualifications needed to thrive as an AI Director?

To thrive as an AI Director, you need deep expertise in artificial intelligence, machine learning, and data science, typically supported by an advanced degree in computer science or related fields. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and experience managing large-scale AI projects are crucial, as are certifications in relevant technologies. Strong leadership, strategic thinking, and communication skills help drive cross-functional teams and align AI initiatives with business objectives. These abilities ensure the successful development, deployment, and adoption of AI solutions that deliver real business value.

How does an AI Director typically collaborate with cross-functional teams in an organization?

An AI Director works closely with various departments such as engineering, product management, data science, and executive leadership to align AI initiatives with business goals. Collaboration often involves leading strategy sessions, setting project priorities, and ensuring technical teams have the resources and guidance needed to deliver on objectives. Effective communication is key, as the AI Director must translate complex technical concepts into business value and coordinate efforts across multiple stakeholders. Regular meetings and progress reviews help maintain alignment and address challenges proactively.

What is the difference between Ai Director vs Data Scientist?

AspectAi DirectorData Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; leadership experienceBachelor's or master's in data science, statistics, or related fields; strong programming skills
Work EnvironmentOversees AI projects, manages teams, collaborates with executivesAnalyzes data, builds models, reports findings, often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI strategiesTech firms, finance, healthcare, research institutions

While both roles involve working with data and AI, the Ai Director focuses on strategic oversight, leadership, and managing AI initiatives, whereas the Data Scientist concentrates on data analysis, model development, and technical implementation.

How to become a director of AI?

To become a director of AI, candidates typically need a strong background in computer science, machine learning, or data science, often with a master's or doctoral degree. Relevant experience includes leading AI projects, managing teams, and proficiency with AI tools and frameworks such as TensorFlow or PyTorch. Developing leadership skills and a strategic understanding of AI applications are also essential for this senior role.
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Ai Director jobs near you
Infographic showing various Ai Director job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $118,160 per year, or $56.8 per hour.

AI Director

Fort Worth, TX • On-site, Remote

Emergent Software
Software Development • 11 - 50 employees
Learn more about Emergent Softwareexternal

$190K - $210K/yr

Full-time

Posted 10 days ago

Job description

**This is a direct hire for one of our clients. This role is fully remote. Eligible candidates must be authorized to work in the US without visa sponsorship.**
Our client is putting AI at the center of its product strategy and is seeking an experienced AI Director to lead the architecture, roadmap, and delivery of customer-facing AI capabilities across its SaaS platform portfolio.
This is a hands-on leadership role that combines AI strategy, software architecture, and team leadership. The ideal candidate has designed and delivered production AI solutions, led technical direction for AI initiatives, and remains actively involved in architecture, prototyping, and software development. You will guide a growing AI team while driving next-generation capabilities including agentic systems, personalization, MCP initiatives, and AI-powered product innovation.
Responsibilities
AI Strategy & Architecture
  • Own the architecture and technical direction for AI capabilities across our client's product portfolio.
  • Define roadmaps for current AI initiatives and next-generation AI systems.
  • Design scalable agentic workflows, personalization capabilities, and AI-driven customer experiences.
  • Establish architecture standards for memory, context management, prompts, evaluation frameworks, retrieval-augmented generation (RAG), knowledge representation, ontologies, and reusable AI patterns.
  • Lead AI integration efforts across .NET, Node, Go, and Java platforms.
  • Evaluate emerging technologies, frameworks, and AI infrastructure solutions.

Hands-On Technical Leadership
  • Remain actively involved in architecture, prototyping, and software development.
  • Develop reference implementations and guide technical decisions through hands-on leadership.
  • Lead build-versus-buy decisions regarding AI platforms, frameworks, and infrastructure.
  • Partner with Platform Engineering on AI infrastructure, evaluation systems, runtime environments, and governance.
  • Serve as a trusted advisor to engineering leadership on AI strategy and long-term technical direction.

Team Leadership
  • Lead and mentor the existing AI team, including engineers and contractors.
  • Foster technical excellence through design reviews, coaching, and architectural guidance.
  • Collaborate closely with engineering leaders, product teams, and stakeholders across the organization.
  • Support broader product engineering teams adopting AI capabilities.

Innovation & Growth
  • Explore and deliver new AI use cases, products, and greenfield opportunities.
  • Lead initiatives involving agent harnesses, personalized content generation, and future MCP implementations.
  • Participate in technical due diligence and AI capability assessments for potential acquisitions.
  • Identify practical AI opportunities that create measurable business value.

Governance & Compliance
  • Establish best practices for AI governance, model selection, hosting strategy, tenant isolation, and data privacy.
  • Partner with Legal, Information Security, and IT teams to support enterprise AI requirements.
  • Ensure AI solutions align with security, compliance, and regulatory expectations.
Qualifications
  • 10+ years of software engineering experience, with significant architecture and technical leadership responsibilities.
  • Proven experience designing, deploying, and scaling production AI, machine learning, RAG, or agentic systems.
  • Deep understanding of modern AI architecture, including LLM applications, retrieval-augmented generation (RAG), memory, context management, evaluation frameworks, knowledge graphs, ontologies, and other AI/ML techniques.
  • Strong hands-on software engineering background with the ability to remain actively involved in development.
  • Experience leading technical strategy, architecture decisions, and AI roadmaps.
  • Ability to work across multiple technology stacks and integrate AI capabilities into existing platforms.
  • Strong communication and collaboration skills with technical and executive stakeholders.
  • Experience leading teams while maintaining direct technical contribution.
  • Comfortable operating in fast-paced, evolving SaaS environments.
Nice to Have Skills
  • Experience with agentic AI, agent orchestration, agent harnesses, and MCP initiatives.
  • Experience designing AI systems leveraging knowledge graphs, ontologies, semantic search, graph databases, and retrieval-augmented generation (RAG) architectures.
  • Experience working with graph databases, vector databases, knowledge representation frameworks, and semantic data models supporting AI applications.
  • Experience with Python, Node.js, or TypeScript.
  • AWS and AWS Bedrock experience.
  • Experience with evaluation platforms such as Braintrust, LangSmith, LangFuse, or similar tools.
  • Background as a Principal Engineer, Staff Engineer, Architect, consultant, startup leader, or innovation lab contributor.
  • Experience conducting technical due diligence or evaluating acquisition targets.
  • Financial services, wealth management, insurance, or other regulated industry experience.
  • Experience supporting AI initiatives within high-growth or private-equity-backed SaaS organizations.
Our Vetting Process
At Emergent Staffing, we work hard to find the best tech candidates capable of developing high quality results for our clients. Here are the steps of our vetting process for this position:
  • Application (5 minutes)
  • Online Assessment (40-60 minutes)
  • Initial Phone Interview (30-45 minutes)
  • Virtual Interview with Hiring Manager (30-45 minutes)
  • Final Client Interview (60-90 minutes)
  • Job Offer!

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