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Vector Security Jobs in Virginia (NOW HIRING)

Steampunk

Red-Team / Adversarial Security Lead

Mclean, VA · On-site

$85 - $170/hr

Develop threat models to identify potential threats, attack vectors, vulnerabilities, and security risks across systems and environments * Develop and execute red-team and adversarial security ...

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Vector Security information

What is Vector Security?

Vector Security is a company that specializes in providing security solutions for both residential and business customers. Their services include alarm systems, video surveillance, access control, fire and carbon monoxide detection, and smart home automation. They also offer 24/7 professional monitoring to ensure rapid response in the event of an emergency. Vector Security operates across North America and customizes their solutions based on individual client needs.

What are some common challenges faced by Vector Security technicians in the field, and how can they prepare for them?

Vector Security technicians often encounter challenges such as troubleshooting complex alarm or surveillance systems in diverse environments and addressing customer concerns on-site. Weather conditions, tight schedules, and rapidly evolving technology can also add complexity to their daily tasks. Being adaptable, maintaining strong communication with both customers and the support team, and staying up-to-date with the latest product training can help technicians overcome these challenges and deliver excellent service.

What are the key skills and qualifications needed to thrive as a security systems technician at Vector Security, and why are they important?

To thrive as a Security Systems Technician at Vector Security, you need a solid understanding of electronic security systems, wiring, troubleshooting, and typically a high school diploma or equivalent, with some positions requiring industry certifications. Familiarity with alarm panels, CCTV systems, access control software, and certifications like NICET or manufacturer-specific training are highly valued. Attention to detail, strong problem-solving skills, and effective communication help technicians excel in both technical tasks and customer interactions. These skills are crucial for ensuring the reliable installation and maintenance of security systems, directly impacting client safety and satisfaction.

What is the difference between Vector Security vs Security Technician?

AspectVector SecuritySecurity Technician
Required CertificationsAlarm system certifications, security licensesSecurity system certifications, technical training
Work EnvironmentInstallation, monitoring, and maintenance of security systemsInstalling, repairing, and troubleshooting security equipment
Employer & Industry UsageSecurity companies, alarm service providersSecurity service providers, electronics retailers
Common Search & ComparisonYesYes

Vector Security primarily focuses on alarm system installation, monitoring, and security solutions, often involving customer service and system management. Security Technicians are more hands-on, specializing in installing and repairing security hardware. While both roles require technical certifications and work within the security industry, Vector Security roles may include monitoring responsibilities, whereas Security Technicians focus on technical installation and maintenance.

What are popular job titles related to Vector Security jobs in Virginia?

For Vector Security jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Vector Security jobs in Virginia look for?

The top searched job categories for Vector Security jobs in Virginia are:

What cities in Virginia are hiring for Vector Security jobs?

Cities in Virginia with the most Vector Security job openings:

Vector Security jobs near you
Infographic showing various Vector Security job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Principal AL/ML Data Scientist - AI, Vector Search & Agentic AI Platforms

Red Arch Solutions, Inc.

Reston, VA • On-site

$270 - $325/hr

Other

Medical, Retirement, PTO

Posted 20 days ago

Job description

ROLE OVERVIEW

Red Arch Solutions is seeking a highly experienced, senior-level AI/ML Data Engineer to lead the design and implementation of enterprise-scale data platforms supporting a large-scale Agentic AI transformation initiative.

With extensive experience delivering AI and machine learning solutions in complex enterprise environments, you will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model (LLM) applications, and emerging Agentic AI capabilities. You will work across infrastructure, cybersecurity, software engineering, and mission stakeholders to rapidly deliver scalable, secure, and reliable AI solutions.

This role requires a seasoned engineer capable of communicating complex technical concepts and architectural tradeoffs to senior leaders, helping leadership teams understand the operational, mission, security, and business implications of emerging AI technologies while driving successful implementation of enterprise capabilities.

Red Arch Distinction: People First

Red Arch Solutions is a flat, highly collaborative organization where your voice is heard. We prioritize work/life balance and individualized professional growth, backed by a 100% company-paid healthcare model, a robust annual training allocation, and an elite technical community solving our nation's most urgent national security challenges.

KEY RESPONSIBILITIES
  • Enterprise AI Platform Engineering: Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model applications.
  • Data Architecture & Strategy: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
  • AI Data Governance: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
  • Technical Leadership: Lead architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost considerations.
  • Cross-Functional Integration: Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities.
  • Executive Communication: Translate highly technical AI, machine learning, and data architecture concepts into clear operational impacts, risks, opportunities, and implementation considerations for senior leadership.
  • Enterprise Coordination: Coordinate with stakeholders across multiple organizations to align AI initiatives, maximize reuse of enterprise capabilities, and eliminate duplication of effort.
  • Operational Excellence: Implement monitoring, observability, and alerting to ensure the reliability, performance, and continuous improvement of AI-supporting data platforms.
  • Mentorship & Engineering Excellence: Provide technical leadership and mentorship to engineers while promoting engineering best practices and innovation across the organization.
  • Technology Evaluation: Assess emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to improve organizational AI capabilities.
REQUIRED QUALIFICATIONS
  • Clearance: Active, current Top Secret / SCI with Polygraph is mandatory.
  • Education: Bachelor’s degree in computer science, Engineering, Mathematics, Data Science, or a related quantitative discipline. Equivalent experience may be considered.
  • Experience:
  • 20+ years of progressive experience in software engineering, data engineering, distributed systems, cloud architecture, or AI/ML platform development.
  • Proven experience designing and delivering enterprise-scale AI, machine learning, generative AI, or Agentic AI solutions.
  • Demonstrated success architecting and implementing production cloud-native data systems supporting advanced analytics and AI workloads.
  • Proven experience working within complex enterprise environments managing security, infrastructure, technology dependencies, governance requirements, and competing priorities.
  • Extensive experience designing data pipelines supporting machine learning models, vector databases, semantic search capabilities, and generative AI applications.
  • Proven experience delivering complex technical solutions from strategic requirements through operational deployment while balancing schedule, performance, capability, and cost objectives.
Technical Expertise
  • Expert proficiency in Python, SQL, and modern software engineering practices.
  • Deep experience with Azure, AWS, or Google Cloud data and AI platforms.
  • Strong understanding of distributed systems, cloud-native architectures, MLOps, and AI platform engineering.
  • Experience implementing vector databases, embedding pipelines, retrieval systems, and Retrieval-Augmented Generation architectures.
  • Experience with CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling.
Communication & Leadership
  • Exceptional written and verbal communication skills.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Proven ability to explain AI, machine learning, and data architecture concepts in terms of mission impact, operational outcomes, technical risk, and implementation tradeoffs.
  • Experience influencing decisions and driving consensus among diverse technical and business stakeholders.
DESIRED SKILLS & FRAMEWORKS
  • Experience serving as a Principal Engineer, Lead Data Engineer, Solution Architect, or Technical Lead.
  • Experience building and operating enterprise-scale vector search, RAG, knowledge management, and LLM-based platforms.
  • Hands-on experience with large-scale distributed data processing frameworks.
  • Experience leading engineering teams and mentoring junior and mid-level engineers.
  • Experience supporting AI adoption efforts within large government, defense, intelligence, or highly regulated organizations.
  • Familiarity with AI governance, model evaluation frameworks, explainability, and responsible AI implementation practices.

Salary Range for this role 270-325K #CJ

The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

Red Arch Solutions Benefits Snapshot:

  • 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
  • HaloScripts Concierge prescription medication service
  • Generous PTO.
  • 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
  • Annualized bonus compensation.
  • Spot bonuses for hard work.
  • Tuition reimbursement.
  • 529 College Saving Plan.
  • College Loan Pay Back Program.
  • 11 Paid Federal Holidays
  • Generous Referral Bonuses.

Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Have more questions about Red Arch? Email us at Careers@RedArchSolutions.com

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