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Vector Ai Jobs (NOW HIRING)

Actian Corporation

Vector Database Senior Sales Engineer

OR · On-site +1

$105K - $143K/yr

This candidate brings specialized knowledge in modern AI/ML data infrastructure to partner with the ... Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases ...

Actian Corporation

Vector Database Senior Sales Engineer

$108K - $147K/yr

This candidate brings specialized knowledge in modern AI/ML data infrastructure to partner with the ... Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases ...

Actian Corporation

OR · Hybrid

$105K - $143K/yr

This candidate brings specialized knowledge in modern AI/ML data infrastructure to partner with the ... Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases ...

Elasticsearch B.V.

$200 - $379/hr

Establish long-term product goals and milestones for the vector use cases, document AI and ... unstructured data management to drive its development. Prioritize features and enhancements based ...

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How much do vector ai jobs pay per hour?

As of Aug 24, 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 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.

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Vector Ai jobs near you
Infographic showing various Vector Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $31,529 per year, or $15.2 per hour.

Senior Sales Engineer, Vector Database

Round Rock, TX • On-site

Jobtailor
See more jobs at Jobtailorexternal

$120 - $180/hr

Other

Posted 19 days ago

Job description

  • Be a technical guide on all aspects of Actian – with a primary focus on AI and Data Analytics becoming the Subject Matter Expert (SME) Sales Engineer for AI Databases within Actian.
  • Collaborate with the Sales team to find and close new business opportunities
  • Provide strategic pre-sales support for sales activities including needs analysis, technology review, requirements definition, and scoping
  • Create and deliver world-class product presentations and demonstrations to meet prospect, customer, or internal needs
  • Work with customers on proof-of-concept projects in a competitive environment
  • Maintain deep understanding of competitive and complementary technologies and vendors and how to position Actian in relation to them
  • Provide guidance on how to resolve customer-specific technical challenges
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Actian’s products and marketing.
  • Become an expert in our products’ features, benefits, presentations, and application to customer needs
  • Provide proactive support to customers and prospects with the goal of facilitating sales
  • Establish and maintain positive customer relationships, and follow-up on opportunities
  • Be the customer advocate and liaison for product management and development
  • Other related duties as assigned
Requirements
  • Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role
  • Bachelor’s, or higher, in computer science, engineering, mathematics or related fields, or equivalent experience
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Strong skills in databases, data warehouses, and data processing
  • Extensive hands‑on expertise with SQL and SQL analytics
  • Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
  • Experience with relational and large‑scale analytics database technology (e.g. Oracle, Informix, SQL Server, Snowflake, Netezza, Teradata, etc.)
  • MUST HAVE: Hands‑on production experience with Milvus and/or Qdrant vector databases
  • Demonstrated expertise in RAG (Retrieval Augmented Generation) architectures and LangChain integration
  • Deep knowledge of Vector AI development landscape, including embedding models, vector search algorithms, and modern AI/ML infrastructure patterns
  • Solid background with multi‑model databases and proven experience architecting solutions that seamlessly blend vector, relational, and analytical workloads
  • Experience and understanding of large‑scale infrastructure‑as‑a‑service platforms (e.g. Google Cloud Platform, Amazon AWS, Microsoft Azure)
  • Familiarity and experience with common BI and data exploration tools (e.g. PowerBI, Looker, Tableau, etc.)
Core Competencies

Demonstrates expertise in AI and Data Analytics, with a strong focus on SQL and vector databases such as Milvus and Qdrant. Proven ability to present complex technical concepts to diverse audiences and collaborate effectively with sales and product teams to drive customer success.

Highest-signal resume keywords
  • SQL Analytics
  • Milvus Vector Database
  • Qdrant Vector Database
  • RAG Architectures
  • Data Warehouse Expertise
ATS Optimization Keywords Hard Skills
  • SQL
  • Data Processing
  • Relational Database Technology
  • Large-Scale Analytics
  • Vector AI Development
  • Embedding Models
  • Vector Search Algorithms
  • Multi-Model Databases
  • Architecting Solutions
  • Data Analytics Software Sales
Soft Skills
  • Presentation Skills
  • Customer Relationship Management
  • Collaboration
  • Problem Solving
  • Technical Guidance
Industry Keywords
  • AI Databases
  • Data Analytics
  • Pre-Sales Support
  • Proof-of-Concept Projects
  • Enterprise Customers
Tools & Technologies
  • Google Cloud Platform
  • Amazon AWS
  • Microsoft Azure
  • PowerBI
  • Looker
  • Tableau
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