AWS AI Engineer
Herndon, VA · On-site
Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance ...
AWS AI Engineer
Herndon, VA · On-site
Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance ...
Vector databases * Knowledge graph integrations * Design and implement AI governance frameworks including: * Responsible AI * AI Guardrails * Model monitoring * Risk management * Compliance controls
Vector databases * Knowledge graph integrations * Design and implement AI governance frameworks including: * Responsible AI * AI Guardrails * Model monitoring * Risk management * Compliance controls
Work across technologies such as AWS Bedrock, Databricks, vector databases, and advanced promptengineering techniques. * Build agent frameworks supporting scientific discovery in areas like ...
Work across technologies such as AWS Bedrock, Databricks, vector databases, and advanced promptengineering techniques. * Build agent frameworks supporting scientific discovery in areas like ...
Vector databases * Knowledge graph integrations * Design and implement AI governance frameworks including: * Responsible AI * AI Guardrails * Model monitoring * Risk management * Compliance controls
Vector databases * Knowledge graph integrations * Design and implement AI governance frameworks including: * Responsible AI * AI Guardrails * Model monitoring * Risk management * Compliance controls
... and vector databases Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models Ensure data quality, integrity, and ...
... and vector databases Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models Ensure data quality, integrity, and ...
Senior Data Scientist
Annapolis Junction, MD · On-site
$168K - $183K/yr
Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases * Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize ...
Senior Data Scientist
Annapolis Junction, MD · On-site
$168K - $183K/yr
Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases * Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize ...
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * Managed services (e.g., SageMaker ...
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * Managed services (e.g., SageMaker ...
Senior Data Scientist
Annapolis Junction, MD · On-site
$168K - $183K/yr
Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases * Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize ...
Quick apply
Senior Data Scientist
Annapolis Junction, MD · On-site
$168K - $183K/yr
Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases * Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize ...
Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases * Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize ...
Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases * Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize ...
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * Managed services (e.g., SageMaker ...
Quick apply
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * Managed services (e.g., SageMaker ...
MLOps Architect
Arlington, VA · On-site
$117K - $189K/yr
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * * Managed services (e.g., SageMaker ...
Quick apply
MLOps Architect
Arlington, VA · On-site
$117K - $189K/yr
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * * Managed services (e.g., SageMaker ...
MLOps Architect - Gen Al
Arlington, VA · On-site
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * Managed services (e.g., SageMaker ...
MLOps Architect - Gen Al
Arlington, VA · On-site
Vector database integration * Document ingestion and chunking strategies * Retrieval evaluation and monitoring * Design and deploy LLM-based services using: * Managed services (e.g., SageMaker ...
Generative AI platforms LLM orchestration AI agents RAG pipelines Vector databases Knowledge graph integrations Design and implement AI governance frameworks including: Responsible AI AI Guardrails ...
Quick apply
Generative AI platforms LLM orchestration AI agents RAG pipelines Vector databases Knowledge graph integrations Design and implement AI governance frameworks including: Responsible AI AI Guardrails ...
MLOps Architect - Gen Al
Arlington, VA · On-site
... Vector database integration • Document ingestion and chunking strategies • Retrieval evaluation and monitoring • Design and deploy LLM-based services using: • Managed services (e.g ...
MLOps Architect - Gen Al
Arlington, VA · On-site
... Vector database integration • Document ingestion and chunking strategies • Retrieval evaluation and monitoring • Design and deploy LLM-based services using: • Managed services (e.g ...
AI/ML Security Integration Engineer
$161K - $240K/yr
Configure vector databases and enterprise search technologies that support the ATO Automation Platform's compliance knowledge graph * Monitor AI model performance and accuracy of generated compliance ...
Quick apply
AI/ML Security Integration Engineer
$161K - $240K/yr
Configure vector databases and enterprise search technologies that support the ATO Automation Platform's compliance knowledge graph * Monitor AI model performance and accuracy of generated compliance ...
AI / ML Engineer
Chantilly, VA · Hybrid
Experience with agent frameworks, data engineering, vector databases, SQL engines, distributed systems, RAG * Bachelors degree Security Clearance: * Active TS/SCI with polygraph clearance
AI / ML Engineer
Chantilly, VA · Hybrid
Experience with agent frameworks, data engineering, vector databases, SQL engines, distributed systems, RAG * Bachelors degree Security Clearance: * Active TS/SCI with polygraph clearance
Develop RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data. Implement Azure OpenAI, Cognitive Search, and related services to build ...
Develop RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data. Implement Azure OpenAI, Cognitive Search, and related services to build ...
Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...
Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...
AI Engineer
Arlington, VA · On-site
... vector databases to enhance AI performance and scalability • Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity • Support ...
AI Engineer
Arlington, VA · On-site
... vector databases to enhance AI performance and scalability • Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity • Support ...
AI Engineer
Arlington, VA · On-site
Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...
AI Engineer
Arlington, VA · On-site
Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...
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?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data 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 Washington, DC? For Vector Databases jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Washington, DC look for? The top searched job categories for Vector Databases jobs in Washington, DC are:
Job description
Role: AWS AI Engineer
Location: Herndon, VA
Work Mode: Onsite
About the Role
We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in deploying, scaling, and maintaining AI/ML workloads in production environments, along with experience in modern AI frameworks and platform engineering.
Certification Requirements (At least one required)
Location: Herndon, VA
Work Mode: Onsite
About the Role
We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in deploying, scaling, and maintaining AI/ML workloads in production environments, along with experience in modern AI frameworks and platform engineering.
Certification Requirements (At least one required)
- Active AWS Solutions Architect Certification
- AWS Certified AI Foundations or AWS Certified AI Professional
- Certified Kubernetes Administrator (CKA) - Active certification
- Deploy, manage, and troubleshoot Kubernetes clusters, including disconnected installations
- Design, deploy, and upgrade Amazon EKS clusters in production environments
- Perform advanced troubleshooting for EKS and Kubernetes-based systems
- Implement and manage LLMOps workflows, including deployment, monitoring, and scaling of Generative AI systems
- Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or AutoGen
- Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus)
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability
- Implement AI governance frameworks, including security guardrails and cost optimization strategies
- Build and support Internal Developer Platforms (IDP) for AI use cases
- Strong Kubernetes expertise (installation, administration, troubleshooting)
- Extensive hands-on experience with Amazon EKS (deployment, upgrades, troubleshooting)
- Proven experience with LLMOps and production-grade Generative AI systems
- Experience with agentic AI frameworks (LangChain, CrewAI, AutoGen)
- Hands-on experience with vector databases and RAG architectures
- Knowledge of AI governance, security guardrails (e.g., NeMo Guardrails), and cost control for LLMs
- Experience building AI-focused Internal Developer Platforms
About Merican
Sourced by ZipRecruiter
Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Columbia , MD, US
Year founded
2020