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Vector Databases Jobs in South Carolina (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Spartanburg, SC · 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 ...

Anveta Inc

Senior DevOps Engineer (AI Platform)

Fort Mill, SC · On-site

$114K - $146K/yr

Work with vector databases, AI APIs, or LLM-based applications (preferred). Monitoring & Production Support * Implement monitoring and alerting using Prometheus, Grafana, CloudWatch, Datadog, ELK, or ...

Pwc

CTIO AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

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

Gap Inc.

Sr. ML Engineer - ML & Applied AI

Columbia, SC

$181K - $235K/yr

Contribute to the adoption of modern AI capabilities , including LLMs, vector databases, retrieval-augmented generation (RAG), and agentic workflows * Ensure high standards of code quality, testing ...

Pwc

CTIO AI Engineering Manager

Spartanburg, SC · On-site

$73K - $244K/yr

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

Shutterfly

Senior Principal Software Engineer

Fort Mill, SC · Remote

$110K - $152K/yr

Leverage modern AI tooling (LLMs, agents, vector databases, orchestration frameworks) * Set the standard for AI-driven engineering productivity and development practices * Lead by example in coding ...

Shutterfly

Senior Principal Software Engineer

Fort Mill, SC · Remote

$110K - $152K/yr

Leverage modern AI tooling (LLMs, agents, vector databases, orchestration frameworks) * Set the standard for AI-driven engineering productivity and development practices * Lead by example in coding ...

Vector CSP LLC

$59K - $62K/yr

... database systems. * Interface with HARM personnel to update the ARMS (or future Government-mandated ... Vector CSP, LLC is an Equal Opportunity Employer. We do not discriminate in employment decisions ...

Vector CSP LLC

$55K - $59K/yr

... developed computer database systems. * Interface with Host Aviation Resource Management (HARM ... Vector CSP, LLC is an Equal Opportunity Employer. We do not discriminate in employment decisions ...

Greenville Water

GIS Analyst I

Greenville, SC · On-site

Applies map projections and geo-referencing to raster and vector data. * Assists in backing up production and database files for storage. * Ensures that accurate conversion operations and data are ...

Greenville Water System

GIS Analyst I

Greenville, SC

Applies map projections and geo-referencing to raster and vector data. * Assists in backing up production and database files for storage. * Ensures that accurate conversion operations and data are ...

Greenville Water

GIS Analyst I

Greenville, SC · On-site

Applies map projections and geo-referencing to raster and vector data.Assists in backing up production and database files for storage.Ensures that accurate conversion operations and data are set to ...

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Showing results 21-40

All JobsVector Databases JobsVector Databases Jobs in South Carolina

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 South Carolina? For Vector Databases jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in South Carolina look for? The top searched job categories for Vector Databases jobs in South Carolina are:
What cities in South Carolina are hiring for Vector Databases jobs? Cities in South Carolina with the most Vector Databases job openings:
Vector Databases jobs near you

Senior Data Scientist - Agentic AI & Multi-Cloud Architecture - Active Top Secret Clearance

Akima, LLC

North Charleston, SC • On-site

Full-time

Retirement

Posted 10 days ago

Akima rating

6.8

Company rating: 6.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

374th of 441 rated engineering

Job description

We are seeking an experienced Senior Data Scientist to support the Program Executive Office (PEO) Digital portfolio by leading the architecture, design, and implementation of next-generation Agentic AI capabilities for Department of Defense digital modernization initiatives. This individual will serve as the technical lead responsible for developing AI-enabled solutions that operate seamlessly across Microsoft Azure, AWS, Google Cloud Platform (GCP), and on-premises environments while maintaining strict security and compliance requirements for IL5 environments.
This Hybrid position requires that you live within commuting distance from North Charleston, SC.
Why Join Us
This position offers the opportunity to shape the future of Artificial Intelligence across the PEO Digital portfolio by architecting enterprise-scale Agentic AI capabilities that support secure, multi-cloud operations across Azure, AWS, Google Cloud Platform, and on-premises environments. You will work alongside Government leaders, cloud architects, software engineers, cybersecurity professionals, and mission partners to deliver innovative AI solutions that accelerate digital modernization, improve mission effectiveness, and enable next-generation decision support for the Department of the Navy. To join our team of outstanding professionals, apply today!
Responsibilities
This role combines advanced data science, machine learning, AI orchestration, cloud architecture, and software engineering to build scalable, secure, and portable AI solutions capable of supporting mission-critical operations across the PEO Digital portfolio and multiple computing environments.
The ideal candidate is equally comfortable discussing large language models with engineers, presenting AI architecture to senior Government leaders, and leading implementation teams through complex technical challenges.
AI Architecture & Strategy
  • Lead the design and implementation of enterprise Agentic AI solutions supporting PEO Digital modernization initiatives.
  • Design portable AI architectures capable of operating across Azure, AWS, GCP, and on-premises environments.
  • Evaluate technical feasibility of proposed AI capabilities and provide architectural recommendations.
  • Develop scalable AI reference architectures that minimize vendor lock-in while maximizing deployment flexibility.
  • Recommend emerging AI technologies and best practices supporting future mission requirements.

Agentic AI Development
Lead development of intelligent multi-agent systems including:
  • AI orchestration frameworks.
  • Autonomous task planning.
  • Tool execution.
  • Agent collaboration.
  • Workflow automation.
  • Multi-agent reasoning.
  • Retrieval-Augmented Generation (RAG).
  • Enterprise knowledge management.

Experience with frameworks such as:
  • Semantic Kernel.
  • AutoGen.
  • LangGraph.
  • LangChain.
  • CrewAI.
  • Similar agent orchestration platforms.

Multi-Cloud & Hybrid Cloud Engineering
Design and support AI deployments utilizing:
  • Microsoft Azure
  • Azure Arc
  • Azure Kubernetes Service (AKS)
  • Amazon Web Services (AWS)
  • Elastic Kubernetes Service (EKS)
  • Google Cloud Platform (GCP)
  • Google Kubernetes Engine (GKE)
  • Hybrid Cloud architectures
  • Edge computing environments
  • On-premises Kubernetes deployments
  • Develop cloud-agnostic deployment strategies supporting PEO Digital enterprise modernization objectives.

Kubernetes & Container Platforms
Lead containerized AI deployments utilizing:
  • Kubernetes.
  • Azure Arc-enabled Kubernetes.
  • Docker.
  • Helm.
  • GitOps.
  • Infrastructure as Code.
  • CI/CD pipelines.

Develop highly portable AI services capable of running in multiple classified and unclassified computing environments.
AI Model Deployment
Design and deploy production AI inference environments utilizing technologies such as:
  • Hugging Face.
  • vLLM.
  • Text Generation Inference (TGI).
  • Open-weight Large Language Models.
  • Commercial AI services where authorized.

Optimize model performance, scalability, latency, and infrastructure utilization.
Data Science & Machine Learning
Develop advanced analytics and machine learning solutions including:
  • Predictive analytics.
  • NLP.
  • Document intelligence.
  • Semantic search.
  • Embedding generation.
  • Knowledge graph integration.
  • AI-assisted decision support.
  • Statistical modeling.
  • Data mining.
  • Feature engineering.

Retrieval-Augmented Generation (RAG)
Design enterprise RAG architectures utilizing:
  • Vector databases.
  • pgvector.
  • Milvus.
  • Azure Arc-enabled PostgreSQL.
  • Enterprise document repositories.
  • Knowledge management systems.

Develop secure document interrogation capabilities supporting mission users.
Security & Compliance
Design AI systems meeting DoD security requirements including:
  • Zero Trust Architecture.
  • Microsoft Entra ID.
  • Identity federation.
  • Policy enforcement.
  • Controlled Unclassified Information (CUI).
  • IL5 environments.
  • Audit logging.
  • Data governance.
  • AI governance.

Implement automated safeguards preventing ingestion or exposure of:
  • Personally Identifiable Information (PII).
  • Protected Health Information (PHI).

Ensure AI outputs comply with applicable security marking and release requirements.
Technical Leadership
  • Lead AI technical strategy across multiple PEO Digital programs.
  • Mentor junior data scientists, ML engineers, and software developers.
  • Serve as technical advisor to Program Managers and Government stakeholders.
  • Present architectural recommendations to executive leadership.
  • Support proposal development and technical solutioning for new business opportunities.

Qualifications
  • Bachelor's degree in computer science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related technical discipline.
  • Active Top Secret Clearance.
  • 10+ years of professional experience in Data Science, Machine Learning, AI, or Cloud Engineering.
  • 5+ years designing enterprise AI or ML solutions.
  • Experience deploying AI solutions in cloud or hybrid-cloud environments.
  • Experience with Kubernetes and containerized applications.
  • Strong experience architecting multi-cloud AI solutions utilizing Azure, AWS, GCP, and Azure Arc.
  • Experience building production machine learning pipelines.
  • Strong Python programming skills.
  • Experience working with REST APIs and microservices.
  • Familiarity with Large Language Models and Generative AI.
  • Excellent communication and technical presentation skills.

Preferred Qualifications:
  • Master's or Ph.D. in AI, Machine Learning, Computer Science, Data Science, Applied Mathematics, or related discipline.
  • Experience supporting Program Executive Office (PEO) Digital, NIWC Atlantic, Marine Corps Systems Command, or other Department of Defense digital modernization organizations.
  • Experience with Azure Arc.
  • Experience with Azure AI Foundry.
  • Experience with AWS Bedrock.
  • Experience with Google Vertex AI.
  • Experience deploying open-weight LLMs.
  • Experience with Semantic Kernel, AutoGen, LangGraph, or similar orchestration frameworks.
  • Experience implementing Retrieval-Augmented Generation (RAG).
  • Experience with vector databases.
  • Experience supporting Department of Defense customers.
  • Experience supporting IL5 or classified computing environments.
  • Active Secret Clearance or higher.

Preferred Certifications:
  • Microsoft Certified: Azure AI Engineer Associate.
  • Microsoft Certified: Azure Solutions Architect Expert.
  • AWS Certified Machine Learning - Specialty.
  • Google Professional Machine Learning Engineer.
  • Certified Kubernetes Administrator (CKA).
  • Certified Kubernetes Application Developer (CKAD).
  • Security+.
  • PMP (preferred).

Job ID
2026-24504
Work Type
Hybrid
Company Description
Work Where it Matters
Akima Systems Engineering (ASE), an Akima company, is not just another federal systems support contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.
At ASE, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders, ASE provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.
For our government customers, ASE delivers solutions in maritime IT, systems engineering, and integration across the Department of Defense and stands ready to help improve operational performance at a reasonable and sustainable cost.
As an ASE employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

What Akima employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Akima

Sourced by ZipRecruiter

As an Alaska Native Corporation headquartered in Herndon, Virginia, Akima is dedicated to delivering superior outcomes for our customers’ missions while simultaneously creating a long-lived asset for our Iñupiat shareholders. Akima maintains a portfolio of small businesses, 8(a) companies, and operating companies that deliver simplified and accelerated access to the products and services agencies need to ensure mission success.

Industry

Specialty trade contractors

Company size

5,001 - 10,000 Employees

Headquarters location

Herndon, VA, US

Year founded

1995

Social media

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