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Vector Ai Jobs in Fort Mill, SC (NOW HIRING)

TQL

AI Architect

Charlotte, NC · On-site

$59 - $77.75/hr

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture* Evaluate and recommend AI models, APIs and platforms (e.g ...

Total Quality Logistics

AI Architect

Charlotte, NC · On-site

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture * Evaluate and recommend AI models, APIs and platforms (e.g ...

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Job Specs - AI Engineering Lead About this role Wells fFargo is seeking a AI engineering Lead in ... Familiarity with vector databases, embeddings, search systems (e.g., ChromaDB,, Elasticsearch ...

Deloitte

Google AI Architect

Charlotte, NC

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

ApTask

.Net Developer with AI

Charlotte, NC · On-site

Work with vector databases such as: * Pinecone * ChromaDB * FAISS * Azure AI Search * Design ... efficient database schemas and optimize query performance. Required Qualifications Technical Skills ...

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Vector Ai information

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How much do vector ai jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for vector ai in Fort Mill, SC is $13.32, according to ZipRecruiter salary data. Most workers in this role earn between $8.46 and $15.43 per hour, depending on experience, location, and employer.

What is a Vector AI?

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 the key skills and qualifications needed to thrive as a Vector AI engineer?

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 are popular job titles related to Vector Ai jobs in Fort Mill, SC?

For Vector Ai jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Vector Ai jobs in Fort Mill, SC look for?

The top searched job categories for Vector Ai jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Vector Ai jobs?

Cities near Fort Mill, SC with the most Vector Ai job openings:

Vector Ai jobs near you
Infographic showing various Vector Ai job openings in Fort Mill, SC as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $27,706 per year, or $13.3 per hour.

Gen AI/Agentic AI Developers

Charlotte, NC • On-site

Tror AI for everyone
See more jobs at Tror AI for everyoneexternal

$49 - $67.75/hr

Contractor

Re-posted 22 days ago

Job description

Role : Gen AI/Agentic AI Developers

Location : Charlotte, North Carolina (100% Onsite)

Hire Type : Contract

Must have : Python, landgraph/ langchain, Google ADK

Responsibilities

Responsibilities include designing and optimizing ML systems for AI agents, translating user needs into technical solutions, developing, and deploying AI algorithms and agentic workflows, and collaborating with cross-functional teams. The role also involves architecting data pipelines, staying updated on state-of-the-art Generative AI and agentic AI frameworks (like Google ADK or LangChain), evaluating technical trade-offs, and potentially providing technical leadership.

 Qualifications

  • Bachelor's degree in a technical field
  • 5+ years in software development and deploying software products, proficiency in programming languages, particularly Python, and experience with machine learning development, deployment, frameworks (like TensorFlow or PyTorch), and APIs. 
  • Excellent hands-on experience in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ADK, Agentic AI
  • Hands on experience delivering 3-4 end to end Production projects
  • Good communication skills and able to manage stakeholders