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Vector Databases Jobs in Tennessee (NOW HIRING)

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

Familiarity with RAG architecture, vector databases, or agentic orchestration. * Familiarity with developing APIs and clients. Bonus points for MCP experience. * JavaScript familiarity. * Excellent ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

... vector retrieval, multi-agent coordination, policy enforcement, and evaluation. * Develop ... Integrate AI agents securely and reliably with enterprise APIs, cloud services, databases, identity ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

... vector retrieval, multi-agent coordination, policy enforcement, and evaluation. * Develop ... Integrate AI agents securely and reliably with enterprise APIs, cloud services, databases, identity ...

Showing results 41-50

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 cities in Tennessee are hiring for Vector Databases jobs? Cities in Tennessee with the most Vector Databases job openings:

AI Software Engineer (Hybrid Eligible)

Oak Ridge National Laboratory

Oak Ridge, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 120 rated laboratories


Job description

Requisition Id 16568 

­­Overview:  

We’re hiring an AI Software Engineer who has AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL. Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments.

­­Major Duties/Responsibilities:

  • Development and support of models utilizing AI/ML and Microsoft Azure, Google Vertex AI, AWS Bedrock.
  • Collaboration with business and classified business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements at the highest security levels.
  • Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and solution methods. LLM/GPT CI/CD pipelines and diagnostic monitoring for clients or set up for client self-monitoring.
  • Ethical and responsible use of AI in line with ORNL policy and guidelines.
  • Collaboration with other DOE labs and private sector companies to understand and mature ORNL capabilities.
  • Help us become the Go-To DOE lab for AI/ML best practices across lab domains.
  • Adherence to ORNL and ITSD software quality assurance standards and ITIL effective practices.
  • Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL guidelines.
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 Basic Qualifications:

  • 1-2 years of recent AI experience including: agentic work experience, workflows, and development of agent fleets to accomplish specific tasks
  • A BS in computer science, data science, artificial intelligence or a related field and a minimum of 5 years total relevant AI/ML experience
    • An overall combination of equivalent experience may be considered
  • Experience developing and deploying AI/ML solutions in cloud and/or on-prem including classified and secure environments, including gathering requirements, designing solutions, and delivering results
  • Familiarity with modern AI/ML tools and platforms such as:
    • Azure AI services (e.g., Azure OpenAI, Azure SQL) or similar cloud tools
    • OpenAI APIs, Microsoft Azure AI Foundry, Google Vertex AI and AWS Bedrock, Hugging Face, LangChain, GitHub, GitLab or other LLM frameworks
  • Experience working with data models, reporting solutions, or analytics environments

Preferred Qualifications:

  • Advanced degree in a related field:
    • Master’s degree with 4 years of experience
  • Active DOE Q clearance, DoD TS with SCI and Poly
  • Understanding of multidimensional and tabular modelling, vector databases, Graph DB
  • Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow
  • Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others
  • Knowledge of current ORNL business processes and applications (or similar) is a bonus
  • Knowledge of Microsoft SharePoint technologies is a bonus
  • A curious, problem-solving mindset with the ability to learn and adapt in a fast-moving space
  • Comfortable working independently and as part of a project-based team
  • Strong communication skills and a focus on delivering value to customers and end users

Special Requirements:

  • Visa sponsorship is not available for this position.
  • This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Hybrid Eligibility:

This position is located in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis.

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.


If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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