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Vector Ai Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience designing vector databases and retrieval pipelines. * Experience developing MCP Servers ... Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience designing vector databases and retrieval pipelines. * Experience developing MCP Servers ... Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS ...

ACA Group

AI Operations Engineer

Durham, NC · On-site

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next ... Help improve retrieval quality for vector search and RAG pipelines * Assist with evaluation ...

ACA Group

AI Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next ... Help improve retrieval quality for vector search and RAG pipelines * Assist with evaluation ...

JAGGAER

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... and manage vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings ... and scale AI/ML pipelines using AWS services (SageMaker, Lambda, API Gateway, Bedrock, S3, EKS ...

ARA

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Experience designing vector databases and retrieval pipelines. * Experience developing MCP Servers ... Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... and manage vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings ... around AI/ML best practices. • Partner with business, product, and engineering leaders to ...

Eisneramper Llp

AI Solution Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Vector search, semantic search, and knowledge mining * Azure Databricks: Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks:

Lindsay & Brownell

AI Solution Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Vector search, semantic search, and knowledge mining * Azure Databricks: Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks:

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

Architect and manage vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for ... Implement and scale AI/ML pipelines using AWS services (SageMaker, Lambda, API Gateway, Bedrock, S3 ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... and manage vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings ... around AI/ML best practices. • Partner with business, product, and engineering leaders to ...

Strategic Employment

AI Software Engineer

Durham, NC · On-site

Our client is a fast-growing technology startup using AI to transform how businesses manage complex ... Work with relational databases (PostgreSQL) and vector databases (pgvector, Pinecone, Weaviate)

Elsevier

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Familiarity with vector databases, embeddings, and retrieval systems. Experience integrating AI capabilities into enterprise systems and developer workflows. Knowledge of responsible AI practices ...

RELX

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Familiarity with vector databases, embeddings, and retrieval systems. Experience integrating AI capabilities into enterprise systems and developer workflows. Knowledge of responsible AI practices ...

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All JobsVector Ai JobsVector Ai Jobs in Raleigh, NC

Vector Ai information

See Raleigh, NC salary details

$5

$14

$21

How much do vector ai jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for vector ai in Raleigh, NC is $14.73, according to ZipRecruiter salary data. Most workers in this role earn between $9.33 and $17.07 per hour, depending on experience, location, and employer.

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

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What is a Vector AI and what do they do?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.
What are popular job titles related to Vector Ai jobs in Raleigh, NC? For Vector Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Vector Ai jobs in Raleigh, NC look for? The top searched job categories for Vector Ai jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Vector Ai jobs? Cities near Raleigh, NC with the most Vector Ai job openings:
Vector Ai jobs near you

Senior AI Technologist

Berriehill Research

Raleigh, NC • On-site, Remote

$48.75 - $63/hr

Full-time

Posted 3 days ago

Job description

Essential Functions:

  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and implement data structures, metadata models, naming conventions, and data standards to support AI and machine learning initiatives.
  • 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.
  • Build and maintain data preparation pipelines to support model training, testing, retrieval, and operational AI applications.
  • 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.

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.

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