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Genai Architect Jobs in Reston, VA (NOW HIRING)

Gen AI Architect

Mclean, VA · On-site

$63.75 - $84/hr

C. is seeking a high-impact GenAI Architect to define enterprise AI strategy and lead architecture for cutting-edge AI systems. This role involves working on LLM-based solutions in a fully onsite ...

MLOps Architect

Arlington, VA · On-site

$117K - $189K/yr

MLOps & GenAI Platform Architecture * Design and implement scalable ML and LLM infrastructure on AWS (SageMaker, EKS, S3, IAM, Lambda, Step Functions, CloudWatch). * Architect end-to-end ML and ...

Sr Specialist Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

Design data architecture for Advanced Analytics and GenAI use cases. * Enable LLM, RAG, and vector-based data solutions. * Support knowledge graphs and advanced modeling techniques. Metrics ...

New

AI Solutions Architect

Falls Church, VA

$67.25 - $88.50/hr

The ideal candidate will bring deep expertise in generative AI (including, but not limited to GenAI ... Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both ...

AI Solutions Architect

Falls Church, VA

$67.25 - $88.50/hr

The ideal candidate will bring deep expertise in generative AI (including, but not limited to GenAI ... Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both ...

Additionally, experience in integrating with large language models (LLMs) and generative AI (GenAI) for effective summarization and other applications is essential. Key Responsibilities: * Architect ...

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Genai Architect information

See Reston, VA salary details

$48.5K

$134.2K

$210K

How much do genai architect jobs pay per year?

As of Aug 7, 2026, the average yearly pay for genai architect in Reston, VA is $134,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a GenAI Architect, you need deep expertise in artificial intelligence, machine learning, and large language models, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and MLOps tools, along with certifications in AI or cloud architecture, are highly valuable. Strong problem-solving skills, strategic thinking, and the ability to communicate complex concepts to diverse stakeholders set top candidates apart. These skills are essential for designing scalable, effective GenAI solutions that align with business goals and drive innovation.

What is a GenAI Architect?

A GenAI Architect is a professional who designs, develops, and oversees the implementation of generative AI solutions within an organization. They are responsible for creating system architectures that leverage advanced machine learning models, such as large language models, to solve business problems and improve processes. GenAI Architects work closely with data scientists, engineers, and stakeholders to ensure AI systems are scalable, secure, and aligned with business objectives. Their role often includes evaluating new technologies, setting best practices, and ensuring compliance with ethical and regulatory standards.

How does a GenAI Architect typically collaborate with cross-functional teams during the development of AI solutions?

A GenAI Architect works closely with data scientists, software engineers, product managers, and sometimes business stakeholders to design, implement, and refine generative AI systems. Collaboration often involves translating business requirements into technical solutions, selecting appropriate models and frameworks, and ensuring integration with existing platforms. Regular meetings, design reviews, and joint problem-solving sessions are common, as the architect must ensure alignment on project goals, timelines, and resource needs. This collaborative approach helps deliver robust, scalable, and responsible AI solutions that meet organizational objectives.
What are popular job titles related to Genai Architect jobs in Reston, VA? For Genai Architect jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Genai Architect jobs in Reston, VA look for? The top searched job categories for Genai Architect jobs in Reston, VA are:
What cities near Reston, VA are hiring for Genai Architect jobs? Cities near Reston, VA with the most Genai Architect job openings:
Infographic showing various Genai Architect job openings in Reston, VA as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $134,198 per year, or $64.5 per hour.

Gen AI Architect

Scalence L.L.C.

Mclean, VA • On-site

$63.75 - $84/hr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Scalence L.L.C. is seeking a high-impact GenAI Architect to define enterprise AI strategy and lead architecture for cutting-edge AI systems. This role involves working on LLM-based solutions in a fully onsite environment.
Responsibilities:
• Create overarching solution architecture.
• Define the vision for AI programs with extensive experience.
• Establish AI standards and guidelines for the enterprise.
• Specialize in large language models and frameworks, vector databases, and cloud deployments.
• Implement Responsible AI techniques, including strategy and execution.
Qualifications:
Required:
• AI Architect- Create overarching solution architecture.
• Define the vision for AI programs with extensive experience.
• Establish AI standards and guidelines for the enterprise.
• Specialize in large language models and frameworks| vector databases| and cloud deployments.
• Implement Responsible AI techniques| including strategy and execution.
• Master's degree in computer science with 8 years of experience.
• Expertise in AI specialization| particularly in large language models and frameworks.
• Experience with vector databases and cloud deployments.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.