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Ai Affect On Jobs in Raleigh, NC (NOW HIRING)

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, data ... affect both SW and HW design * Work with customers to determine hardware requirements for AI ...

Our AI agents and human agents operate on a single platform with shared context, allowing Agentic ... In addition, you'll help businesses solve complex communication problems that affect everyone ...

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Ai Affect On information

What is AI's effect on jobs?

AI (Artificial Intelligence) is transforming the job market by automating repetitive tasks, improving efficiency, and creating new job opportunities in technology and data analysis. While some roles may be replaced or changed, AI also generates demand for workers with skills in machine learning, data science, and AI system management. The overall effect varies by industry, but many experts suggest that upskilling and adapting to new technologies are key for career growth in the age of AI.

How does AI integration impact daily workflows and responsibilities?

Professionals involved in AI affect projects often find that their daily workflows are dynamic and involve continuous collaboration with cross-functional teams such as data scientists, software engineers, and UX designers. The integration of AI requires constant learning and adaptation, as new tools and models are regularly introduced. A typical day may include analyzing AI-driven data outputs, refining algorithms based on user feedback, and ensuring ethical standards are met in AI applications. This environment encourages innovation but also presents challenges in staying updated with rapid technological advancements.

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

To thrive as an AI Analyst, you need a strong foundation in data analysis, machine learning concepts, and programming skills, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like Python, TensorFlow, and data visualization platforms, as well as certifications in AI or data science, are commonly required. Critical thinking, effective communication, and adaptability help professionals interpret results and collaborate with technical and non-technical stakeholders. These skills and qualities are essential for leveraging AI technologies to drive business insights and ensure ethical, impactful implementations.

What is the difference between Ai Affect On vs Data Analyst?

AspectAi Affect OnData Analyst
Required CredentialsTypically a background in AI, machine learning, or data scienceBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTech companies, AI development teams, research labsBusiness, finance, healthcare, and other industries analyzing data
Industry UsageFocuses on AI impact, development, and integrationAnalyzes data to inform business decisions
Search & Comparison IntentUnderstanding AI's influence on jobs and processesUnderstanding data analysis roles and skills

While Ai Affect On explores how AI impacts various industries and roles, Data Analysts focus on interpreting data to support decision-making. Both roles require analytical skills, but Ai Affect On is more about AI's influence, whereas Data Analysts work directly with data sets to generate insights.

Infographic showing various Ai Affect On 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 11 days ago


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.