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Vector Ai Jobs (NOW HIRING)

DevApps IT

AI Architect

Irvine, CA · On-site

$67.50 - $89/hr

Agent-Based AI Systems ... RAG / Vector DB / Embeddings * API Development & System Integration * AWS Cloud (Cloud-Native ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval ... AI Architect duties: Provide architectural oversight across AI/ML projects to ensure consistency ...

H R PUNDITS INC

Senior AI/ML Engineer

Boise, ID · Remote

$130K/yr

Senior AI/ML Engineer (Vector Store & Retrieval Systems) Location: Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and ...

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

Architect solutions using BigQuery, Lakehouse, and Vector Databases. 4. AI Platform & MLOps Architecture * Design scalable MLOps pipelines for training, deployment, and monitoring. * Define CI/CD ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Develop and orchestrate agentic AI workflows with tool/function calling ... Implement vector search solutions using vector databases or MongoDB * Ensure CI/CD integration and ...

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/hr

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings). * Architect and implement LLM orchestration layers supporting content ideation ...

Majestic Labs

AI SOC Architect

Los Altos, CA · On-site

In this role, you will define and optimize the RISC-V-based compute clusters, vector engines, and shared memory structures that power high-performance AI workloads. You'll collaborate closely with ...

Accenture Federal Services

AI Architect

Chantilly, VA · On-site

Lead the end-to-end technical design, development, and implementation of an agentic AI system to ... Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

You are comfortable building with foundation model APIs, vector and hybrid search, prompt and model evaluation, AI observability, and cloud-based services, and you are eager to learn while ...

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Vector Ai information

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How much do vector ai jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for vector ai in the United States is $15.16, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $17.55 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.
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Vector Ai jobs near you

AI Architect

DevApps IT

Irvine, CA • On-site

$67.50 - $89/hr

Other

Posted 19 days ago

Job description

Role: AI Scientist / AI Architect (Hands-on)

Location: Irvine, CA and LA, CA (2-3 days / week in the client s Irvine office, 1 day in their downtown LA office, 1 day remote)

Mandatory Areas:

  • AI/ML Solution Architecture
    LLM & Generative AI Development
    Agent-Based Systems
    Retrieval-Augmented Systems (RAG)
    Enterprise AI Integration

Must Have Skills:

  • Python & Backend Development
  • LLM / Generative AI Application Development
  • Agent-Based AI Systems
  • RAG / Vector DB / Embeddings
  • API Development & System Integration
  • AWS Cloud (Cloud-Native Development)
  • CI/CD & DevOps Practices
  • Observability (Logging, Monitoring, Tracing)
  • At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
  • Strong Python backend development experience
  • Hands-on experience with LLM-enabled applications and Generative AI
  • Experience building agent-based / agent-oriented AI systems
  • Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
  • Experience with API development and backend system integration
  • AWS cloud-native development experience
  • Experience with CI/CD pipelines and environment management
  • Strong understanding of observability (logging, monitoring, tracing)
  • Experience deploying ML models in production environments
  • Exposure to enterprise AI workflows, automation, and governance models

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