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Applied Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

ARA

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

Bitovi

Enterprise Systems Engineer V (DevOps)

Durham, NC · On-site

$140 - $210/hr

As part of an AI-first company, this role must also demonstrate applied AI impact by embedding AI into DevOps workflows in ways that measurably improve speed, reliability, scalability, and overall ...

Bitovi

Enterprise Systems Engineer V (DevOps)

Durham, NC · Remote

$126K - $244K/yr

As part of an AI-first company, this role must also demonstrate applied AI impact by embedding AI into DevOps workflows in ways that measurably improve speed, reliability, scalability, and overall ...

Bitovi

Enterprise Systems Engineer V (DevOps)

Durham, NC · On-site +1

$126K - $244K/yr

As part of an AI-first company, this role must also demonstrate applied AI impact by embedding AI into DevOps workflows in ways that measurably improve speed, reliability, scalability, and overall ...

IQVIA, Inc.

Manager, AI Science & Solutions

Durham, NC · On-site

$111/hr

Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation. About the Role As an AI Scientist Manager ...

IQVIA

Manager, AI Science & Solutions

Durham, NC · On-site

$111/hr

Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation. About the Role As an AI Scientist Manager ...

IQVIA LLC

Manager, AI Science & Solutions

Durham, NC · On-site

$120 - $230/hr

Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation. About the Role As an AI Scientist Manager ...

IQVIA

Manager, AI Science & Solutions

Durham, NC

$111/hr

Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation. About the Role As an AI Scientist Manager ...

Accenture

Senior Advanced AI Research Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Our applied research function sits at the intersection of frontier AI research and production engineering - investigating the foundational challenges that will determine whether enterprise agentic AI ...

SAS

AI/Model Security Architect

Cary, NC

$60.75 - $78.50/hr

About the job As an AI/Model Security Architect within Applied AI and Modeling (AAIM) division you ... Create/disseminate developer guidance and training, and create repositories, code or templates with ...

Sas

AI/Model Security Architect

Cary, NC · On-site

$150 - $210/hr

About the job As an AI/Model Security Architect within Applied AI and Modeling (AAIM) division you ... Create/disseminate developer guidance and training, and create repositories, code or templates with ...

SAS

AI/Model Security Architect

Cary, NC · On-site

$60.75 - $78.50/hr

About the job As an AI/Model Security Architect within Applied AI and Modeling (AAIM) division you ... Create/disseminate developer guidance and training, and create repositories, code or templates with ...

Bitovi

Principal Architect - Enterprise AI

Durham, NC · Remote

$126K - $244K/yr

Qualifications * Bachelor's degree in Computer Science, Engineering, or equivalent practical ... Public writing, speaking, or open-source contributions related to applied AI. Pay Range Details We ...

Bitovi

Principal Architect - Enterprise AI

Durham, NC · Remote

$153K - $306K/yr

Qualifications * Bachelor's degree in Computer Science, Engineering, or equivalent practical ... Public writing, speaking, or open-source contributions related to applied AI. Pay Range Details We ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Raleigh, NC

Applied Ai Engineer information

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

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Raleigh, NC?

For Applied Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Raleigh, NC look for?

The top searched job categories for Applied Ai Engineer jobs in Raleigh, NC are:

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

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

Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

Senior AI Technologist

ARA

Raleigh, NC • On-site

$48.75 - $63/hr

Full-time

Re-posted 5 days ago

Job description

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of enterprise AI capabilities across the organization. This is a greenfield opportunity to help build our enterprise AI program from the ground up by identifying high-value use cases, assessing AI readiness, and guiding the implementation of secure, scalable AI solutions.
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and automation frameworks to solve real business challenges and improve operational efficiency. This role focuses on applying existing AI technologies to deliver business value rather than developing or training AI models.
You will partner with technical teams to deploy AI solutions in highly regulated on-premises and cloud environments while ensuring alignment with security, governance, and enterprise architecture standards.
Essential Functions:
  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and establish data structures, metadata models, naming conventions, and information architecture standards that enable scalable AI solutions.
  • Design AI solution approaches using existing technologies such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and orchestration frameworks to address business and operational challenges.
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows.
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.
  • Define and support data preparation, ingestion, and retrieval workflows that enable production AI applications, retrieval-augmented generation (RAG), and AI agent solutions.
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints.
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls.
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives.

Experience and Skills Required:
  • Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions.
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.
  • Experience designing vector databases and retrieval pipelines.
  • Experience developing MCP Servers and Clients.
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling.
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock).
  • Strong experience developing AI solutions in Python, Golang, or Typescript.
  • Strong analytical, troubleshooting, and documentation skills.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.

Preferred:
  • Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ecosystems.
  • Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows.
  • Experience designing data schemas, taxonomies, ontologies, or metadata standards for enterprise information.
  • Experience working in regulated environments with standards such as NIST or CMMC.
  • Experience supporting scientific, engineering, defense, or national security-related data initiatives.
  • Experience working with DevOps systems, git, CI/CD, GitOps.
  • DoD experience.
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance.

Education:
  • Bachelor's degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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