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Vector Ai Jobs (NOW HIRING)

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 ...

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 ...

QA Graphics

Be Seen First

Vector/SVG Production Designer

Ankeny, IA · On-site

$22 - $25/hr

Opportunity QA Graphics is looking for a Vector/SVG Production Designer to join our in house ... AI, SVG, EPS, PDF, and DXF file handling * Adobe Photoshop experience * HTML5 or SVG animation ...

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI developer who can build and ...

VIS IT Solutions Inc

AI Architect

Miami, FL · On-site

AI Architect - Onsite Location: Miami, FL Duration: 6 months GBaMS ReqID: 10641871 JD: * 10-15 ... Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

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Vector Ai information

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How much do vector ai jobs pay per hour?

As of Aug 3, 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
Infographic showing various Vector Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $31,529 per year, or $15.2 per hour.

Vector Database Senior Sales Engineer

Actian Corporation

OR • Hybrid

$105K - $143K/yr

Full-time

Posted 12 days ago

Job description

Company Background

Actian is a global leader in hybrid data management, cloud data warehousing, and data integration technologies. Trusted by world-class organizations such as Bloomberg, Intuit, Lufthansa, and Citibank, we help businesses solve their most complex data challenges and drive transformation through innovative solutions. Actian puts our greatest asset, our people, at the center and offers employees the opportunity to work in a fast-paced, collaborative environment focused on shared success. At Actian, we believe in culture add and don't subscribe to ideologies limiting people's potential. We don't want people to work here - we want them to belong here.

With a vision of being the most trusted, flexible, and easy-to-use data platform, our product portfolio includes the most performant data management, data integration, and data analytics products on the market. Customers use our cloud-native data platform to unify their data, explore and securely exchange data to run various analytic workloads that provide real-time business insights at a fraction of the cost. Twenty-four (24) Fortune 100 companies use Actian technology in some of the most mission-critical applications that impact your daily life.

Join our team and be at the forefront of innovation and creativity as we shape this market.

Job Description

We are seeking a Subject Matter Expert (SME) Sales Engineer with deep, hands-on expertise in Vector AI databases and a proven track record of selling advanced database and data analytics solutions. This candidate brings specialized knowledge in modern AI/ML data infrastructure to partner with the Sales team and function as the key technical authority and enabler for complex, AI-focused software deals. Beyond direct sales support, this SME role is pivotal in elevating the entire Sales Engineering organization through technical mentoring, architectural guidance, and enablement of the broader SE team across global regions.

A significant portion of this role includes leading deep technical discussions, architecting sophisticated solutions, demonstrating Actian's Vector DB capabilities in competitive contexts, and guiding the execution of proof-of-concepts at enterprise scale. 

This includes working with customers and partners to understand how their AI/ML initiatives intersect with their data challenges, mapping Actian's vector-first and multi-model database capabilities to those needs and providing authoritative competitive analysis that positions our offerings against specialized vector database vendors.

Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases as they emerge), RAG architectures, and LangChain integrations, combined with broad experience in relational, analytics, and multi-model database systems. They possess profound insight into the Vector AI development landscape and understand the emerging patterns in enterprise AI data infrastructure.

Will have the strategic vision to connect customers' most ambitious AI/ML challenges with Actian's differentiated solution, the customer-facing excellence to communicate complex technical concepts to C-level and technical audiences alike, and the depth of technical knowledge to provide trusted architectural guidance and act as a true technical advisor.

This person is energized by mentoring and developing Sales Engineers at all levels, sharing knowledge across global teams, and building organizational capability around vector database solutions and AI-driven data architecture. 

 They have the flexibility and intellectual curiosity to navigate cutting-edge technologies, the initiative to drive both customer success and internal enablement, and the collaborative spirit to work seamlessly with sales teams, product, engineering, and customer success across regions and time zones.

What You Will Be Doing:

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

What You Bring to Actian:

        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.)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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