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Ai Director Jobs in Raleigh, NC (NOW HIRING)

NetApp

Director of Engineering - AI Solutions

Morrisville, NC · On-site

$236K/yr

Executive Summary We are looking for an innovative Director of Engineering - AI Solutions for Developer Productivity to transform how our software engineers build, test, and deploy code. In this high ...

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Pwc

Commercial AI Strategy Director

Raleigh, NC · On-site

$122K - $504K/yr

Industry/Sector Not Applicable Specialism IFS - Clients & Markets Management Level Director & Summary The Opportunity As a Commercial AI Strategy Director, you will lead the charge in developing ...

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Ai Director information

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.

What are the most commonly searched types of Ai jobs in Raleigh, NC?

The most popular types of Ai jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Director jobs?

Cities near Raleigh, NC with the most Ai Director job openings:

Ai Director jobs near you
Infographic showing various Ai Director job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Director, AI Engineering

WaferWire Cloud Technologies

Morrisville, NC • On-site, Remote

$170K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Key responsibilities

  • Build and lead the Core Intelligence organization, owning agentic systems, orchestration, routing, tool frameworks, RAG retrieval, memory, knowledge graph, and perception signals.

  • Architect the intelligence layer for hybrid AI, including on-device inference, cloud fallback, multi-model routing, policy enforcement, and context grounding.

  • Drive the development and optimization of perception-based triggers, wake-word detection, OCR/ASR pipelines, and recommendation engines.

Job description

Job Title: Director, AI Engineering
Location: Morrisville, NC
Worksite: Remote
About WCT
WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you'll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.
Description and Requirements
About Our Team
  • Client is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud. As Head of Core Intelligence, you will lead the engineering teams responsible for the "AI brain" of the system - including agentic orchestration, reasoning, fused memory, RAG retrieval, perception models, recommendation systems, and model optimization.
  • You will own the intelligence substrate that powers every AI experience ships across millions of devices. This is a hands-on engineering leadership role, combining deep technical understanding with the ability to operate across multiple layers of the AI stack.
  • We recently introduced Qira, our new cross-device Personal AI that works seamlessly across products.

Location: Remote work in the US is an option with 25% travel.
What You'll Do
  • Build and lead the Core Intelligence organization, owning agentic systems, orchestration, routing, tool frameworks, RAG retrieval, memory, knowledge graph, and perception signals.
  • Architect the intelligence layer for hybrid AI: on-device inference, cloud fallback, multi-model routing, policy enforcement, and context grounding.
  • Drive the development of perception-based triggers, wake-word detection logic, screenshot and audio understanding, OCR/ASR pipelines.
  • Own the recommendation and next-action engines, working closely with Experience Engineering to deliver contextual, proactive AI.
  • Lead the optimization of small and medium models (SLMs): quantization, distillation, pruning, and device-specific tuning.
  • Partner closely with Platform Engineering, Cloud Platform, SRE & Delivery, and Experience teams to ensure Core Intelligence is performant, reliable, and tightly integrated.
  • Define evaluation frameworks and quality gates for intelligence features such as retrieval accuracy, hallucination avoidance, model grounding, and agent reliability.
  • Set the technical direction for the intelligence roadmap, balancing innovation, prototyping, and production reliability.
  • Mentor senior ICs across perception, agentic systems, RAG, memory, and model optimization.
  • Collaborate with research, product, and design teams to bring new agent capabilities and multimodal experiences to life.

Basic Qualifications
  • 12+ years of engineering experience with at least 5 years leading teams in AI/ML systems, agent platforms, search, recommendation, or applied ML infrastructure.
  • Hands-on experience with orchestration frameworks, agentic systems, LLM/SLM pipelines, RAG systems, embeddings, and memory architectures.
  • Strong technical depth in at least one of: perception models (OCR/ASR/vision), retrieval systems, reinforcement learning, model optimization, distributed systems.
  • Experience building systems that run across device + cloud in hybrid or edge environments.

Preferred Qualifications
  • Demonstrated ability to lead senior ICs, set technical direction, and deliver complex AI systems at scale.
  • Strong collaboration skills across platform teams, cloud engineering, UX/experience engineering, and SRE organizations.
  • Ability to thrive in fast-paced, evolving environments and shape the engineering culture for a new AI platform.
  • 25% global travel ability

Compensation / Salary Range: The typical pay range for this role is: USD $170,000/Yearly - $180,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.
WCT will accept applications and processes offers for these roles until the role is filled.
Equal Employment Opportunity Declaration:
WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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