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Ai System Architect Jobs in Virginia (NOW HIRING)

RecruitTalent LLC.

System Architect

Fredericksburg, VA · On-site

$70 - $80/hr

... AI/ML deployment. * Establish and maintain DevOps/CI-CD pipelines, configuration repositories, and ... System Architecture & Integration: API-based integrations, microservices, SOA, and middleware ...

B&A

Senior AI Systems Architect

Ashburn, VA

Description Senior AI Systems Architect: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership ...

Accenture Federal Services

AI Architect

Chantilly, VA · On-site

$130K - $265K/yr

The architect is responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring the solution is scalable, secure, and production-ready.

Accenture Federal Services

AI Architect

Chantilly, VA · On-site

$265K/yr

The architect is responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring the solution is scalable, secure, and production-ready.

Cvent

AI Architect

Tysons, VA · On-site

$63.75 - $84/hr

AI at Cvent: Leading the Future Are you ready to shape the future of work at the intersection of ... Systems Architecture: Architect and implement the systems infrastructure underpinning client ...

UNISSANT

Senior AI Systems Architect

Ashburn, VA · On-site

Support ATO processes and system security documentation for AI-enabled solutions. * Establish ... Lead architecture reviews, technical strategy sessions, and solution design workshops. * Translate ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Support ATO processes and system security documentation for AI-enabled solutions. * Establish ... Lead architecture reviews, technical strategy sessions, and solution design workshops. * Translate ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Support ATO processes and system security documentation for AI-enabled solutions.Establish ... Lead architecture reviews, technical strategy sessions, and solution design workshops.Translate ...

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Ai System Architect information

What is an AI system architect?

AI System Architects are professionals who design, plan, and oversee the development of artificial intelligence systems within organizations. They are responsible for creating the overall architecture for AI solutions, ensuring that different technologies, algorithms, and data sources work together seamlessly. AI System Architects collaborate with data scientists, engineers, and business stakeholders to implement scalable and effective AI-driven products and services. Their role often includes evaluating new technologies, setting best practices, and ensuring the security and scalability of AI systems.

How does an AI system architect typically collaborate with data scientists and engineers during a project?

An AI System Architect works closely with data scientists to understand the requirements and constraints of AI models and ensures that system infrastructure supports their needs. They collaborate with engineers to design scalable, robust architectures and oversee the integration of AI components into existing systems. Regular communication and joint problem-solving are essential, as architects bridge the gap between high-level AI goals and practical implementation, often facilitating technical discussions and making critical design decisions.

What are the key skills and qualifications needed to thrive as an AI system architect, and why are they important?

To thrive as an AI System Architect, you need a deep understanding of machine learning, distributed systems, data engineering, and typically a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, GCP, or Azure), AI frameworks (such as TensorFlow or PyTorch), and experience with system design are essential, along with relevant certifications. Strong problem-solving skills, strategic thinking, and effective communication set top candidates apart. These skills ensure the architect can design scalable, efficient, and robust AI solutions that align with business objectives and technical requirements.

What is the difference between Ai System Architect vs Data Scientist?

AspectAi System ArchitectData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI systems, collaborating with engineers, focusing on architectureAnalyzing data, building models, interpreting results
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsTech, finance, healthcare, marketing, research organizations

While both roles require knowledge of AI and ML, an Ai System Architect primarily designs and oversees AI system architecture, ensuring integration and scalability. In contrast, a Data Scientist focuses on analyzing data, building models, and deriving insights. The roles often collaborate but differ in their core responsibilities and focus areas.

How do you become an AI system architect?

To become an AI system architect, one typically needs a strong background in computer science, software engineering, or related fields, along with expertise in artificial intelligence, machine learning, and system design. Gaining experience through relevant projects, obtaining certifications in AI or cloud platforms, and developing skills in programming languages like Python and tools such as TensorFlow or PyTorch are also important steps.

What are popular job titles related to Ai System Architect jobs in Virginia?

For Ai System Architect jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai System Architect jobs in Virginia look for?

The top searched job categories for Ai System Architect jobs in Virginia are:

What cities in Virginia are hiring for Ai System Architect jobs?

Cities in Virginia with the most Ai System Architect job openings:

Ai System Architect jobs near you
Infographic showing various Ai System Architect job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

System Architect

RecruitTalent LLC.

Fredericksburg, VA • On-site

$70 - $80/hr

Contractor

Re-posted 12 days ago

Job description

General Responsibilities:

  • Design and maintain the enterprise system architecture, ensuring compatibility and interoperability across applications, platforms, and cloud environments.
  • Develop system blueprints, technical standards, and configuration baselines to guide modernization, automation, and integration efforts.
  • Oversee system design reviews, data flow mapping, and infrastructure optimization to improve reliability, scalability, and performance.
  • Collaborate with GWRC’s business, cybersecurity, and data teams to align systems with organizational goals and compliance requirements.
  • Provide technical leadership in the planning, development, and implementation of IT systems, ensuring adherence to federal and agency standards.
  • Support process automation and reengineering by defining system interfaces, APIs, and integration logic that enable efficient data exchange.
  • Lead technology assessments and feasibility studies to recommend scalable tools, frameworks, and modernization strategies.
  • Embed security-by-design principles into system architecture and coordinate with the cybersecurity team on access control, encryption, and incident prevention.
  • Support data management and analytics integration, ensuring consistent architecture for reporting, dashboards, and AI/ML deployment.
  • Establish and maintain DevOps/CI-CD pipelines, configuration repositories, and environment management practices.
  • Contribute to change management and training activities by providing system documentation, architecture diagrams, and technical briefings.
  • Monitor system performance and coordinate with IT operations for continuous optimization and lifecycle management.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Experience:
    • 7–10 years of progressive experience in systems design, integration, or enterprise IT architecture.
    • Proven record of managing cross-platform infrastructure and modernization projects in government or enterprise settings.
    • Experience integrating automation, data analytics, and security controls into unified architectures.

Technical Expertise:

  • System Architecture & Integration: API-based integrations, microservices, SOA, and middleware frameworks.
  • Infrastructure Management: Windows/Linux servers, virtualization, networking, storage, and cloud infrastructure.
  • Cloud Platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP) architecture and deployment.
  • Automation Tools: ServiceNow, UiPath, Power Automate, or custom workflow orchestration systems.
  • Security Frameworks: NIST SP 800-53/171, FedRAMP, FISMA, and Zero Trust Architecture.
  • Data Management: Data lakes, ETL pipelines, SQL/NoSQL databases, BI integration (Power BI, Tableau).
  • DevOps & CI/CD: GitLab, Jenkins, Docker, Kubernetes, Terraform, or Ansible for automated deployment and environment consistency.

Preferred Certifications:

  • TOGAF (The Open Group Architecture Framework)
  • ITIL Foundation / Intermediate
  • AWS Certified Solutions Architect or Azure Solutions Architect Expert
  • CompTIA Security+, CISSP, or CISM (for cybersecurity alignment)
  • Lean Six Sigma (Mandatory)
  • PMP or Agile Scrum Master (for project coordination and delivery)