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Generative Ai Architect Jobs in Virginia (NOW HIRING)

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

AI Architect Contract Duration: 6 Month Contract to Hire Location: Fairfax, VA (4-5 days' on-site ... NLP & Generative AI * Some exposure to Computer Vision * Data engineering fundamentals (Pandas ...

Senior AI Solutions Architect, Generative AI

Reston, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI Solutions Architect - Generative AI is the senior technical leader for the AI Center of Excellence's (AI COE) Generative AI and large language model (LLM) architecture. The role ...

Generative AI Strategist

Mclean, VA · On-site

$122K - $158K/yr

... solutions architects, business development, marketing, and industry specialists to foster ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Architect, design, and implement advanced AI/ML solutions, including: * Agentic AI systems ... generative AI systems. * Experience implementing practical MLOps pipelines and AI ...

Architect, design, and implement advanced AI/ML solutions, including: * Agentic AI systems ... generative AI systems. * Experience implementing practical MLOps pipelines and AI ...

Architect, design, and implement advanced AI/ML solutions, including: * Agentic AI systems ... generative AI systems. * Experience implementing practical MLOps pipelines and AI ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

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Generative Ai Architect information

See Virginia salary details

$46.1K

$127.7K

$199.8K

How much do generative ai architect jobs pay per year?

As of Aug 19, 2026, the average yearly pay for generative ai architect in Virginia is $127,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,600.00 per year, depending on experience, location, and employer.

What are the main challenges a Generative AI Architect faces when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What are the key skills and qualifications needed to thrive as a Generative AI Architect?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

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

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

How to become a generative AI architect?

To become a generative AI architect, one should have a strong background in computer science, machine learning, and deep learning, with experience in neural network models such as transformers and GANs. Proficiency in programming languages like Python, familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of data preprocessing are essential. Gaining certifications in AI or machine learning and working on relevant projects can also enhance qualifications for this role.

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

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

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

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

Infographic showing various Generative Ai Architect job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $127,651 per year, or $61.4 per hour.

AI Architect

campus4tech

Fairfax, VA • On-site

$62.50 - $82.50/hr

Contractor

Re-posted 6 days ago


Job description

Requirements (Please Read)
  • Local and comfortable with the on-site requirements.
  • Candidates must have experience in government/sector and candidates who have current or recent Public Trust are ideal.
  • Candidates must work W-2 only
  • Candidate must obtain and maintain Public Trust Suitability Clearance from DHS.

Please read the Job Description Carefully
Local Candidates are required
Job Title: AI Architect
Contract Duration: 6 Month Contract to Hire
Location: Fairfax, VA (4-5 days' on-site, 3 days' on-site at minimum)
Client wants a hands-on AI architect who can set AI strategy, design secure cloud-based AI systems, lead teams, and navigate federal compliance-someone who can operate at both technical depth and program leadership level.
Senior Architecture and Hands-On AI Leader
  • Experience specifically in AI/ML architecture and engineering
  • Has designed end-to-end AI solutions, not just models
  • Can define AI strategy, reference architectures, and roadmaps, then guide teams to implement them
  • Still hands-on enough to prototype in Python, evaluate models, and guide engineering decisions
    Federal / Government-Focused Technologist
  • Direct experience delivering AI or advanced analytics solutions to U.S. federal agencies
  • Comfortable operating under FISMA, NIST RMF, FIPS, GovCloud security constraints
  • Understands policy, compliance, and ethical AI considerations in government environments
  • Ideally has worked on large ($50M+) federal programs
    Cloud-Centric AI Architect (AWS First)
  • Strong AWS architecture background, ideally AWS GovCloud
  • Experience with:
    • SageMaker, Glue, Databricks, Elastic, S3, EC2, IAM
    • Hybrid or self-hosted AI platforms
  • Can balance performance, scalability, cost, and security in cloud AI designs
    AI Generalist (Not Niche)
    They want breadth more than deep specialization in one area:
  • Machine Learning & Deep Learning
  • NLP & Generative AI
  • Some exposure to Computer Vision
  • Data engineering fundamentals (Pandas, NumPy, pipelines, APIs)
  • This is not a pure GenAI prompt engineer or research scientist.
    Program-Level Leader & Communicator
  • Acts as AI SME for the entire program
  • Can:
    • Define AI governance and usage policies
    • Educate non-AI engineers and stakeholders
    • Mentor junior AI/ML engineers
  • Strong written and verbal skills for architecture documents, briefings, and leadership reviews
    Security-Aware AI Architect
  • Experience embedding security-by-design into AI solutions
  • Familiar with:
    • DevSecOps pipelines
    • Secure model deployment
    • Data governance and access controls
  • Bonus if familiar with DHS CDM, cyber mission space, or security analytics