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Vector Remote Jobs in Washington, DC (NOW HIRING)

A.C. Coy

DevSecOps Architect (Remote)

Falls Church, VA · Remote

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... vectors like model inversion or data poisoning. * Developer Empowerment: Create self-service ...

A.C. Coy

DevSecOps Architect (Remote)

Falls Church, VA · On-site +1

$69.25 - $89.50/hr

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... vectors like model inversion or data poisoning. * Developer Empowerment: Create self-service ...

A.C. Coy

DevSecOps Architect (Remote)

Falls Church, VA · Remote

$69.25 - $89.50/hr

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... vectors like model inversion or data poisoning. * Developer Empowerment: Create self-service ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS ...

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

... vector databases, and enterprise application integration. * Strong understanding of Agile methodologies, secure software development practices, and enterprise architecture. Work Environment * Remote ...

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

... and threat vectors * Develop front-end dashboards and other visualizations Qualifications ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

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All JobsVector JobsVector Remote JobsVector Remote Jobs in Washington, DC

Vector Remote information

See Washington, DC salary details

$126.3K

$233.3K

How much do vector remote jobs pay per year?

As of Jul 27, 2026, the average yearly pay for vector remote in Washington, DC is $227,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $232,200.00 and $232,200.00 per year, depending on experience, location, and employer.

What are some of the unique challenges faced when working as a remote sales representative for Vector Marketing?

As a remote sales representative for Vector Marketing, one of the main challenges is maintaining self-motivation and discipline, since you are often managing your own schedule without direct in-person supervision. Additionally, building rapport with customers virtually requires strong communication skills and adaptability to different digital platforms. You may also need to proactively seek feedback and support from your team, as remote work can sometimes feel isolating. However, the company offers regular virtual meetings, training, and resources to help you stay connected and succeed in your sales goals.

What are the key skills and qualifications needed to thrive as a Vector Remote (Remote Sales Representative at Vector Marketing), and why are they important?

To thrive as a Vector Remote Sales Representative, you need strong sales acumen, effective communication skills, and a high school diploma or equivalent. Familiarity with CRM software, virtual meeting platforms, and online order processing systems is typically required. Exceptional interpersonal skills, self-motivation, and resilience help individuals stand out in this role. These skills are crucial for building client relationships, meeting sales targets, and succeeding in a remote work environment.

What are Vector Remote jobs?

Vector Remote jobs refer to employment opportunities offered by Vector Marketing that allow representatives to work remotely, typically selling CUTCO® products from home or any location with internet access. These positions often involve conducting virtual demonstrations, managing customer relationships online, and setting appointments through digital platforms. Remote roles offer flexible scheduling, making them attractive to students and those seeking supplemental income. Training and support are usually provided virtually, ensuring remote reps have the resources needed to succeed. This setup allows individuals to gain sales and communication experience without needing to work in a traditional office environment.

What is the difference between Vector Remote vs Data Analyst?

AspectVector RemoteData Analyst
Required CredentialsBachelor's degree in relevant field, technical skills in data toolsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentRemote, flexible hours, tech-focusedTypically office-based or remote, analytical and reporting tasks
Employer & Industry UsageTech companies, startups, remote-first organizationsBusiness, finance, healthcare, and various industries
Search & Comparison IntentRemote data roles, tech jobs, data-focused positionsData analysis careers, analytics roles, data reporting jobs

Vector Remote and Data Analyst roles often require similar technical skills and educational backgrounds. While Vector Remote emphasizes remote work environments and tech industry usage, Data Analysts are found across multiple industries with both remote and on-site options. Understanding these differences helps job seekers target the right roles based on work setting and industry focus.

What are the most commonly searched types of Vector jobs in Washington, DC? The most popular types of Vector jobs in Washington, DC are:
Vector Remote jobs near you
Infographic showing various Vector Remote job openings in Washington, DC as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 59% Physical, 4% Hybrid, and 37% Remote job distribution, with an average salary of $227,097 per year, or $109.2 per hour.

Senior AI Solution Architect

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Posted 15 days ago

Job description

#W2 Role
 
Role: Senior AI Solution Architect
Location: Remote
Experience: 10+ years preferred
Mandatory Skills: GCP, Vector Database, Agentic AI Frameworks, Python
 
Job Description
We are looking for a highly experienced and hands-on Senior AI Solution Architect to lead the design, development, and deployment of a scalable Agentic AI platform focused on knowledge-driven reasoning, enterprise transformation, and intelligent automation.
The ideal candidate should have strong experience in cloud modernization, AI architecture, enterprise API transformation, vector databases, Python development, and GCP-based AI/ML solutions. This role requires someone who can work closely with business, architecture, engineering, data, and cloud teams to transform enterprise services into AI-driven, searchable, and reusable capabilities through Knowledge Record Management, reasoning layers, orchestration frameworks, and agentic workflows.
 
Key Responsibilities
Lead the architecture, design, and implementation of a scalable Agentic AI platform for enterprise use cases.
Design AI-driven solutions focused on knowledge discovery, reasoning, orchestration, and enterprise automation.
Build and guide the development of reasoning and orchestration layers using Agentic AI frameworks.
Transform enterprise services, documents, and business knowledge into searchable APIs and reusable AI capabilities.
Design and implement Knowledge Record Management patterns to structure, classify, retrieve, and govern enterprise knowledge.
Build RAG-based and agentic workflows using vector databases, embeddings, retrieval pipelines, and LLM orchestration.
Develop AI solution architecture on Google Cloud Platform (GCP) using cloud-native services and scalable deployment models.
Lead cloud modernization and migration strategies to enable AI-first enterprise platforms.
Design secure, scalable, and reusable APIs to expose enterprise knowledge and services to AI agents.
Provide hands-on technical leadership in Python-based AI engineering, orchestration, and backend service development.
Evaluate and recommend AI frameworks, vector database platforms, embedding models, and orchestration patterns.
Partner with product owners, business stakeholders, architects, and engineering teams to convert business needs into AI solution designs.
Create architecture diagrams, technical design documents, API specifications, integration patterns, and implementation roadmaps.
Define best practices for responsible AI, security, access control, data privacy, observability, and governance.
Support proof-of-concepts, MVPs, production deployments, performance tuning, and platform scaling.
Mentor engineering teams on Agentic AI architecture, cloud-native design, and enterprise AI delivery practices.
 
Required Skills
10+ years of overall IT experience with strong experience in solution architecture, cloud architecture, AI/ML engineering, or enterprise application modernization.
Strong hands-on experience with Google Cloud Platform (GCP).
Strong experience designing and implementing Agentic AI frameworks and multi-agent workflows.
Hands-on experience with Python for AI engineering, backend services, orchestration, and API development.
Strong experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, FAISS, Vertex AI Vector Search, or similar platforms.
Experience building embeddings, semantic search, RAG pipelines, reasoning workflows, and knowledge retrieval systems.
Strong understanding of LLM-based solution design, prompt engineering, tool calling, function calling, and agent orchestration.
Experience building AI-driven APIs and transforming enterprise services into searchable, consumable, and reusable AI capabilities.
Strong understanding of cloud modernization, migration patterns, microservices, APIs, and enterprise integration.
Experience designing scalable, secure, and production-ready AI platforms.
Strong knowledge of data pipelines, metadata, document ingestion, chunking strategies, indexing, retrieval optimization, and knowledge governance.
Ability to define architecture standards, reusable design patterns, and technical implementation roadmaps.
Strong stakeholder management, communication, documentation, and leadership skills.
 
Preferred Skills
Experience with GCP services such as Vertex AI, BigQuery, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, Cloud SQL, GKE, IAM, and API Gateway.
Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar tools.
Experience with Knowledge Graphs, ontology design, metadata management, taxonomy design, or enterprise knowledge management.
Experience designing reasoning/orchestration layers for enterprise GenAI platforms.
Experience with API management, REST APIs, GraphQL, event-driven architecture, and microservices.
Experience with MLOps, CI/CD, Docker, Kubernetes, Terraform, and cloud deployment automation.
Knowledge of security, privacy, governance, and compliance requirements for enterprise AI platforms.
 
Nice to Have
Experience with cloud migration and modernization from legacy platforms to GCP.
Experience implementing AI platforms for enterprise search, knowledge assistants, service automation, or intelligent workflow orchestration.
Exposure to model evaluation, LLM observability, hallucination controls, guardrails, and prompt/version management.
Experience working in financial services, healthcare, insurance, retail, or large enterprise environments.
 
Certifications
GCP Professional Cloud Architect, Professional Machine Learning Engineer, or related cloud/AI certifications are a plus.