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Vector Ai Jobs in Tennessee (NOW HIRING)

AWS Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Integrate Generative AI capabilities into data workflows using Amazon Bedrock, AgentCore, custom LLMs, and embeddings. * Build RAG (Retrieval-Augmented Generation) pipelines leveraging vector ...

Applied AI Solutions Analyst

Nashville, TN · On-site +1

$93K - $169K/yr

... Vector Store(s) Enterprise Data Platform Agentic Workflows MCP REST APIs Azure iManage SharePoint ... role - Demonstrated AI building experience - delivered AI tools, workflows, or agents ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees ... Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees ... Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or ...

Senior AI Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees ... Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or ...

Engineer II, AI/ML

Midtown, TN · On-site

$85K - $117K/yr

Working knowledge of distributed databases (e.g., DynamoDB, Cosmos DB), caching systems, and vector ... Comfortable using AI coding agents to plan, implement, test, and review software, along with sound ...

As an AI Software Engineer in an AI Innovation organization within OCI, you will help build AI ... vector retrieval, multi-agent coordination, policy enforcement, and evaluation. * Develop ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color ...

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

Showing results 21-40

Vector Ai information

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.

What are popular job titles related to Vector Ai jobs in Tennessee?

For Vector Ai jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Vector Ai jobs?

Cities in Tennessee with the most Vector Ai job openings:

Cloud Engineer- Data/AI Focused

Innovative Solutions

Nashville, TN • On-site

$110K - $132K/yr

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Innovative Solutions is a technology company focusing on Data and AI solutions. As a Data & AI Engineer, you will build and deploy modern data pipelines and generative AI solutions on AWS while working directly with clients to deliver secure, scalable, and production-ready solutions.
Responsibilities:
• Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
• Creating and maintaining data extraction, transformation, and loading processes
• Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
• Implementing data lakes using S3 and related AWS services
• Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
• Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
• Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
• Writing and testing SQL queries and stored procedures
• Documenting technical solutions and providing knowledge transfer to customers
• Supporting the implementation of data governance and security controls
• Troubleshooting and resolving issues with data pipelines and AI services
• Participating in code reviews and implementing feedback
• Assisting with proof-of-concept implementations for customer engagements
Qualifications:
Required:
• 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
• 2+ years of hands-on AWS experience with production deployments
• 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
• Proven track record delivering production AI applications from concept to deployment
• Strong understanding of software engineering best practices (version control, testing, code review, documentation)
• Experience working in agile/scrum environments with distributed teams
• Excellent problem-solving skills and ability to work independently with minimal supervision
• Strong written and verbal communication skills for client-facing interactions
Preferred:
• Technical familiarity with AWS data and AI/ML services and modern data engineering practices
• Hands-on experience with ETL/ELT processes and data transformation
• Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
• Ability to write and optimize SQL queries across various database platforms
• Knowledge of data modeling concepts and best practices
• Strong analytical and problem-solving skills
• Eagerness to learn new technologies and keep up with cloud and AI innovations
• Excellent communication skills with the ability to explain technical concepts clearly
• Attention to detail and commitment to solution quality
• Collaborative mindset with strong teamwork capabilities
• Experience or interest in automation and infrastructure as code
Company:
Innovative Solutions is an IT company that specializes in software development, mobile app development, and game development. Founded in 2009, the company is headquartered in Karachi, PAK, with a team of 51-200 employees. The company is currently Growth Stage.