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Vector Databases Jobs in Tennessee (NOW HIRING)

ERP AI Engineer - Manager

Nashville, TN · On-site

$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 ...

Principal Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Knowledge of LLM orchestration frameworks, retrieval systems, vector databases, or AI infrastructure concepts is a plus. * Demonstrated ability to rapidly ship high quality production systems using ...

Systems Engineer - Cloud Ops

Memphis, TN · On-site

$54.25 - $72.50/hr

Build and maintain infrastructure for Retrieval-Augmented Generation (RAG) pipelines and vector databases * Configure GPU-enabled node pools and optimize resource allocation for AI/ML workloads

Technical Program Manager

Memphis, TN

$125K - $162K/yr

... vector databases, and LLM-based retrieval systems is highly desirable Program Leadership Lead end-to-end execution of search platform initiatives from concept through production Drive alignment ...

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

AI Solutions Architect - Life Sciences

Nashville, TN · Hybrid

$60.75 - $80.25/hr

... vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures * 1+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt ...

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

Preferred Qualifications Exposure to popular proprietary or open-source CMS systems such as Wordpress, Drupal, Joomla, Magento 1+ years experience with one or more vector databases (e.g., TurboPuffer ...

Preferred Qualifications • Exposure to popular proprietary or open-source CMS systems such as Wordpress, Drupal, Joomla, Magento • 1+ years experience with one or more vector databases (e.g ...

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

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 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 ...

Showing results 21-40

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:

Knowledge Engineer / Semantic Expert for AI

Accenture

Nashville, TN • On-site

$73K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 481 rated business services


Job description

You Are: As a Knowledge Engineer, you formulate real‐world problems into practical, efficient, and scalable AI and Knowledge Graph problems. You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting‐edge algorithms, and applying these techniques with the right architecture to solve real‐world problems. You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi‐modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). As needed by the specific problem, you design, evaluate, and maintain ontologies. As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value. You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end‐to‐end project development goals. The Work: Build Knowledge Graph solutions that transform clients' data architecture. Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly. Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand‐out Data & AI offerings powered by graph‐based technologies. Develop strong relationships with clients and gain the trust of key advisors. Make the business case for the semantic layer solution recommended to the client. Pitch in on Accenture sales efforts when needed. Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns. Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements. Here's what you need Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience. Minimum of 2 or more of the below Requirements: Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL). Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation. Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph‐based machine learning models, functional and technical experience required. Minimum of 1 end‐to‐end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands‐on design and configuration. Minimum of 2 years and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases. Bonus Points If 2+ years of hands‐on experience with cloud platforms (AWS, Azure, GCP). 2+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow). Practical experience with NLP and/or Search techniques. Prompt engineering and LLMs for enterprise‐scale applications. You have team lead experience. Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have external client‐facing consulting experience. Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‐term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Role Location Annual Salary Range California $73,800 to $220,400 Cleveland $68,300 to $176,300 Colorado $73,800 to $190,400 District of Columbia $78,500 to $202,700 Illinois $68,300 to $190,400 Maine $62,800 to $162,200 Maryland $73,800 to $190,400 Massachusetts $73,800 to $202,700 Minnesota $73,800 to $190,400 New York $68,300 to $220,400 New Jersey $78,500 to $220,400 Virginia $68,300 to $202,700 Washington $80,200 to $202,700 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889‐9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. #J-18808-Ljbffr


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