Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment. * Programming ...
Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment. * Programming ...
AI/ML Software Developer
Arlington, VA · On-site
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
AI/ML Software Developer
Arlington, VA · On-site
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
AI/ML Software Developer
Arlington, VA · On-site
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
Quick apply
AI/ML Software Developer
Arlington, VA · On-site
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as ...
Senior Cybersecurity Data Engineer - AI/ML SME
$110K - $149K/yr
Feature Stores & Vector DBs: 3+ years experience implementing feature store frameworks (e.g., Feast, SageMaker Feature Store) and vector databases (e.g., Pinecone, Milvus, Qdrant, or Pgvector)
Senior Cybersecurity Data Engineer - AI/ML SME
$110K - $149K/yr
Feature Stores & Vector DBs: 3+ years experience implementing feature store frameworks (e.g., Feast, SageMaker Feature Store) and vector databases (e.g., Pinecone, Milvus, Qdrant, or Pgvector)
Senior Cybersecurity Data Engineer - AI/ML SME
Reston, VA · On-site
$110K - $149K/yr
Feature Stores & Vector DBs: 3+ years experience implementing feature store frameworks (e.g., Feast, SageMaker Feature Store) and vector databases (e.g., Pinecone, Milvus, Qdrant, or Pgvector)
Senior Cybersecurity Data Engineer - AI/ML SME
Reston, VA · On-site
$110K - $149K/yr
Feature Stores & Vector DBs: 3+ years experience implementing feature store frameworks (e.g., Feast, SageMaker Feature Store) and vector databases (e.g., Pinecone, Milvus, Qdrant, or Pgvector)
AI/ML engineering
Reston, VA · On-site
$119K - $143K/yr
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). * Exposure to data visualization tools (e.g., Power BI, Tableau). * Understanding of MLOps ...
Quick apply
AI/ML engineering
Reston, VA · On-site
$119K - $143K/yr
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). * Exposure to data visualization tools (e.g., Power BI, Tableau). * Understanding of MLOps ...
Machine Learning Engineer
Chantilly, VA · On-site
... vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems • Strong problem-solving abilities, attention to detail, excellent communication skills, and ...
Machine Learning Engineer
Chantilly, VA · On-site
... vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems • Strong problem-solving abilities, attention to detail, excellent communication skills, and ...
Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment. * Programming ...
Quick apply
Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment. * Programming ...
Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment. * Programming ...
Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment. * Programming ...
Experience working with vector databases and retrieval systems (e.g., LlamaIndex, FAISS, Pinecone, Weaviate). Some experience with fine-tuning AI models is a big plus, but not required. Solid coding ...
Experience working with vector databases and retrieval systems (e.g., LlamaIndex, FAISS, Pinecone, Weaviate). Some experience with fine-tuning AI models is a big plus, but not required. Solid coding ...
Senior AI/ML Developer with Security Clearance
Mclean, VA · On-site
$56 - $73.75/hr
Preferred Qualifications Experience with vector databases such as pgvector, Pinecone, Weaviate, or Chroma to support semantic search and AI/ML workflows Familiarity with LLM orchestration frameworks ...
Senior AI/ML Developer with Security Clearance
Mclean, VA · On-site
$56 - $73.75/hr
Preferred Qualifications Experience with vector databases such as pgvector, Pinecone, Weaviate, or Chroma to support semantic search and AI/ML workflows Familiarity with LLM orchestration frameworks ...
Senior LLMOps Engineer
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer
Mclean, VA · On-site
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer
Mclean, VA · On-site
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer
Mclean, VA · On-site
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer
Mclean, VA · On-site
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer with Security Clearance
Fairfax, VA · On-site
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Senior LLMOps Engineer with Security Clearance
Fairfax, VA · On-site
$145K - $185K/yr
Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar). * Advanced knowledge of cloud platforms (AWS ...
Lead Data Architect
Herndon, VA · On-site
$160K - $190K/yr
Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex). * Familiarity with AWS Bedrock or other managed LLM services. * Experience ...
Lead Data Architect
Herndon, VA · On-site
$160K - $190K/yr
Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex). * Familiarity with AWS Bedrock or other managed LLM services. * Experience ...
Lead Data Architect
Herndon, VA · On-site
$160K - $190K/yr
Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex). * Familiarity with AWS Bedrock or other managed LLM services. * Experience ...
Lead Data Architect
Herndon, VA · On-site
$160K - $190K/yr
Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex). * Familiarity with AWS Bedrock or other managed LLM services. * Experience ...
Lead Data Architect
$160K - $190K/yr
Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex). * Familiarity with AWS Bedrock or other managed LLM services. * Experience ...
Lead Data Architect
$160K - $190K/yr
Experience integrating Databricks with vector databases (Pinecone, neo4j) and retrieval frameworks (LangChain, LlamaIndex). * Familiarity with AWS Bedrock or other managed LLM services. * Experience ...
Pinecone Vector Databases information
What is a Pinecone vector database?
A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.
What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?
To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.
What are some common challenges faced by engineers working with Pinecone vector databases, and how can they be addressed?
Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.
What is the difference between Pinecone Vector Databases vs Data Engineers?
| Aspect | Pinecone Vector Databases | Data Engineers |
|---|---|---|
| Primary Role | Managing and deploying vector database solutions for AI/ML applications | Designing, building, and maintaining data pipelines and infrastructure |
| Skills & Certifications | Knowledge of vector databases, cloud platforms, programming (Python, SQL) | Data modeling, ETL processes, cloud services, programming (Python, Java) |
| Work Environment | Tech companies, AI startups, cloud providers | Data-driven organizations, tech firms, finance, healthcare |
While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.
What are popular job titles related to Pinecone Vector Databases jobs in Washington?
For Pinecone Vector Databases jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Washington look for?
The top searched job categories for Pinecone Vector Databases jobs in Washington are:
What cities in Washington are hiring for Pinecone Vector Databases jobs?
Cities in Washington with the most Pinecone Vector Databases job openings:
AI Solutions Architect & Federal Technical Lead - US Federal Sector
Herndon, VA • Hybrid
Full-time
Re-posted 18 days ago
Job description
Mode: Hybrid (combining remote focused engineering work with onsite collaboration at our corporate office (Herndon, VA) and executive client sites for technical briefings/deployments).
Role Overview:
We are seeking a highly technical, mission-driven AI Solutions Architect & Technical Lead to drive the engineering and implementation of advanced artificial intelligence within the US Federal Government space. In this role, you will serve as the definitive technical authority, architecting and actively building modern, secure AI frameworks that drive agency transformation. You will utilize your deep understanding of legacy federal systems to design hybrid architectures, build functional proofs-of-concept (PoCs), and seamlessly bridge the gap between legacy infrastructure and cutting-edge GenAI capabilities. While deeply hands-on, you will also confidently engage with Senior Executive Service (SES) members, agency CIOs, and senior government technical leaders to validate technical approaches and shape the future of federal technology.
Key Responsibilities:
- Hands-on AI Engineering & Prototyping
- Act as the lead technical builder to rapidly engineer, code, and ship high-impact AI/ML Proofs of Concept (PoCs) and pilot programs within secure federal sandbox environments.
- Develop and deploy custom Retrieval-Augmented Generation (RAG) pipelines, fine-tune Large Language Models (LLMs), and implement robust vector databases tailored to federal mission data.
- Bridge the gap between rigid government engineering standards and agile AI software deployment by implementing modern DevSecOps practices.
- Enterprise Architecture & Modernization
- Evaluate complex, legacy federal enterprise architectures (including monolithic databases and mainframes) to design and execute AI-driven optimization and integration strategies.
- Design comprehensive, hybrid system blueprints that safely and effectively integrate modern cloud-native AI solutions with siloed on-premise government systems.
- Ensure all proposed architectures are inherently designed to strictly comply with FedRAMP, DoD Impact Levels (IL4/IL5/IL6), and Zero Trust mandates.
- Technical Strategy & Executive Advisement
- Conduct deep-dive technical discovery sessions and briefings with SES leaders, flag officers, and agency technical directors (CIOs/CTOs).
- Translate complex mission challenges into actionable, secure technical roadmaps and system designs.
- Serve as the primary technical Subject Matter Expert (SME) and author for complex technical volumes in RFIs, RFPs, and whitepapers to secure prime contract vehicles.
- Compliance & Deployment Leadership
- Guide federal technical teams through the complex Authority to Operate (ATO) processes by providing comprehensive architectural documentation and security mappings.
- Architect solutions specifically tailored for high-security, air-gapped, or disconnected edge environments.
Required Qualifications:
- Technical Skills & Hands-On Expertise
- AI/ML Stack: Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment.
- Programming & Infrastructure: Strong proficiency in Python and experience deploying containerized applications (Docker, Kubernetes) within AWS GovCloud, Azure Government, or on-premise environments.
- Systems Engineering: Proven ability to design data migrations, API integrations, and secure data pipelines connecting legacy systems to modern AI platforms.
- Security & Compliance: Technical mastery of FedRAMP controls, NIST 800-53 guidelines, DevSecOps pipelines, and deploying software in highly restricted or air-gapped networks.
- Professional & Leadership Experience
- Federal Heritage: Foundational knowledge of legacy federal IT infrastructure, monolithic architectures, and agency enterprise tech stacks.
- Executive Presence: 5+ years of experience acting as a technical SME, presenting complex architectural concepts to SES-level executives, political appointees, or military flag officers.
- Delivery Track Record: Proven success in systems engineering, solutions architecture, or technical delivery within the US Federal Government or with Tier-1 Federal Systems Integrators (FSIs).
- Education:
- Bachelor's degree in Computer Science, Artificial Intelligence, or related field, or equivalent experience.
About eTelligent Group
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Leesburg, VA, US
Year founded
2005