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Vector Databases Jobs in Raleigh, NC (NOW HIRING)

Lindsay & Brownell

AI Solution Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

Eisneramper Llp

AI Solution Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

ClifyX

AWS AI Platform Engineer

Raleigh, NC · On-site

RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex ...

Pwc

ERP AI Engineer - Manager

Raleigh, NC

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Thermo Fisher Scientific

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

Experience with Databricks, Dataiku or vector databases. * Knowledge of CRM/ERP integration architecture. * Background in supply chain or commercial analytics ecosystems. * Experience architecting ...

IQVIA

Principal Enterprise Architect

Durham, NC

Deep technical knowledge of generative AI and agentic concepts, including vector databases, RAG, tooluse, MCP servers, HITL, evaluation frameworks, monitoring, observability, and platforms such as ...

Bandwidth Inc.

Applied AI Engineer

Raleigh, NC · On-site

$104K - $137K/yr

... with vector databases (e.g., Pinecone, Weaviate, pgvector) and semantic search. • Experience building or maintaining internal developer platforms, artifact registries, or shared API services.

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. * Experience designing agentic workflows and reasoning strategies, with hands-on ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. * Experience designing agentic workflows and reasoning strategies, with hands-on ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. * Experience designing agentic workflows and reasoning strategies, with hands-on ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. * Experience designing agentic workflows and reasoning strategies, with hands-on ...

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All JobsVector Databases JobsVector Databases Jobs in Raleigh, NC

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

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

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What are popular job titles related to Vector Databases jobs in Raleigh, NC? For Vector Databases jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Raleigh, NC look for? The top searched job categories for Vector Databases jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Vector Databases jobs? Cities near Raleigh, NC with the most Vector Databases job openings:
Vector Databases jobs near you
AI Solution Architect

AI Solution Architect

Lindsay & Brownell

Raleigh, NC • On-site, Remote

$61.25 - $80.75/hr

Full-time

Posted 11 days ago

Key responsibilities

  • Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers.

  • Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents.

  • Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot.

Job description

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

EisnerAmper is seeking an AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm.

What it Means to Work for EisnerAmper:

  • You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

  • You will have the flexibility to manage your days in support of our commitment to work/life balance

  • You will join a culture that has received multiple top "Places to Work" awards

    • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

    • We understand that embracing our differences is what unites us as a team and strengthens our foundation

    • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:

  • Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers.

  • Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents

  • Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot

  • Design agentic frameworks supporting initiation, execution, state management, logging, and error handling

  • Ensure adherence to data governance policies and responsible AI practices

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future.

Basic Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field or related work experience.

  • 6+ years of software development experience with 4+ years in AI/ML architecture role

  • 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions

Preferred or Desired Qualifications

  • Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus)

  • Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem

  • Azure Machine Learning: MLOps, model deployment, and lifecycle management

  • Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning

  • Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision

  • Azure AI Search: 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: TensorFlow, PyTorch, Scikit-learn, Transformers

  • Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate

  • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com

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