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Genai Architect Jobs in Reston, VA (NOW HIRING)

eSolutionsFirst, LLC

Data Architect

Mclean, VA · On-site

$65.50 - $84/hr

Leverage Databricks Mosaic AI capabilities for advanced analytics and GenAI use cases ... Provide architectural guidance and ensure successful adoption of Databricks Support & Delivery ...

campus4tech

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 ... This is not a pure GenAI prompt engineer or research scientist. Program-Level Leader & Communicator

Amazon

Solutions Architect, Federal Civilian

Arlington, VA · On-site

$72.50 - $95.50/hr

Solutions Architects lead complex cloud deployments that drive mission outcomes in production. You ... You'll design cloud architectures that solve real mission problems, ship GenAI and data solutions ...

Gurus Infotech, Inc.

AI QE Architect

Bethesda, MD · On-site

AI QE Architect Location: Bethesda, MD (Hybrid) We are looking for strong AI Quality Engineering ... Building GenAI-based QE platforms, AI agents, and autonomous workflows * Hands-on experience with ...

Amazon

Solutions Architect, Federal Civilian

Arlington, VA

$72.50 - $95.50/hr

Solutions Architects lead complex cloud deployments that drive mission outcomes in production. You ... You'll design cloud architectures that solve real mission problems, ship GenAI and data solutions ...

Sentrillion

GenAI Developer

Reston, VA · On-site

$115K - $195K/yr

Recruiting for GenAI Developer experience to join our team in our Ashburn VA facility. This is a ... Familiarity with cloud architecture * Knowledge of virtual networks, load balancers, and content ...

Sentrillion

GenAI Developer

Ashburn, VA · On-site

Recruiting for GenAI Developer experience to join our team in our Ashburn VA facility. This is a ... Familiarity with cloud architecture * Knowledge of virtual networks, load balancers, and content ...

Hexaware Technologies, Inc

AI Architect

Washington, DC · On-site

AI Architect Location: Washington, DC (3-4 days onsite) Fulltime Role Overview Lead the evaluation ... Integrate GenAI agents with back-end services, APIs, and data pipelines. * Ensure production ...

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Showing results 41-60

All JobsGenai Architect JobsGenai Architect Jobs in Reston, VA

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 8, 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.
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Genai Architect jobs near you
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.

Principal AI Solutions Architect

Digital Links Inc

Washington, DC • On-site

Contractor

Re-posted 12 days ago

Job description

Job Description:

Job Title: Principal AI Solutions Architect – Cloud & Enterprise AI 
Location: 95% Remote – Occasional Onsite Meetings in Washington, D.C.
 
Position Overview
Patient-Centered Outcomes Research Institute is seeking a highly experienced Principal AI Solutions Architect to lead the design and implementation of secure, scalable, and enterprise-grade AI and cloud solutions supporting healthcare research, data modernization, and digital transformation initiatives.
This role requires deep expertise in AWS cloud architecture, Generative AI ecosystems, enterprise systems integration, MLOps, AI governance, and cloud-native application design. The ideal candidate will serve as a strategic technical leader responsible for architecting AI-enabled platforms while ensuring security, compliance, governance, and operational excellence.
The architect will collaborate closely with enterprise leadership, data engineering teams, cybersecurity, DevSecOps, and application development teams to drive innovation using modern AI technologies including LLMs, RAG architectures, MCP (Model Context Protocol), AI Guardrails, and enterprise AI orchestration frameworks.
 
Key Responsibilities
Design and implement enterprise-scale AWS cloud architectures supporting AI/ML and GenAI workloads.
Architect scalable, resilient, and secure cloud-native solutions using:
Microservices
Containers
APIs
Event-driven architectures
Serverless computing
Lead architecture and integration efforts for:
Generative AI platforms
LLM orchestration
AI agents
RAG pipelines
Vector databases
Knowledge graph integrations
Design and implement AI governance frameworks including:
Responsible AI
AI Guardrails
Model monitoring
Risk management
Compliance controls
Implement and support MCP (Model Context Protocol) integrations and AI interoperability solutions.
Architect enterprise MLOps pipelines for:
Model training
Validation
Deployment
Observability
Lifecycle management
Design secure AI solutions leveraging AWS services such as:
SageMaker
Bedrock
Lambda
ECS/EKS
API Gateway
DynamoDB
S3
IAM
CloudWatch
Collaborate with DevSecOps teams to implement:
CI/CD pipelines
Infrastructure as Code (Terraform/CloudFormation)
Security automation
Compliance scanning
Develop architecture standards, governance models, and technical roadmaps.
Provide technical leadership, mentoring, and architectural guidance across engineering teams.
Evaluate emerging AI technologies and recommend enterprise adoption strategies.
Support enterprise modernization initiatives aligned with healthcare and research data platforms.
 
Required Qualifications
10+ years of experience in:
Enterprise Architecture
Cloud Engineering
Systems Architecture
Solution Architecture
5+ years of hands-on AWS cloud architecture experience.
 
Strong expertise in:
AI/ML architecture
Generative AI
Large Language Models (LLMs)
AI orchestration frameworks
MLOps
 
Experience with:
MCP (Model Context Protocol)
AI Guardrails
Responsible AI frameworks
Strong experience designing:
Distributed systems
Enterprise integrations
Cloud-native platforms
 
Expertise in:
API architecture
Event-driven systems
Kubernetes
Docker
Serverless computing
Experience with Infrastructure as Code:
Terraform
CloudFormation
Strong DevSecOps and CI/CD implementation experience.
Strong understanding of:
Security architecture
Governance
Compliance
Enterprise cloud controls
Strong communication and stakeholder management skills.
 
Preferred Qualifications:
AWS Certified Solutions Architect – Professional
AWS AI/ML Specialty Certification
Experience with:
LangChain
OpenAI APIs
Bedrock Agents
Vector databases
Knowledge Graphs
RAG architectures
Experience supporting healthcare, research, nonprofit, or federal organizations preferred.
Experience implementing enterprise AI governance and Responsible AI initiatives.
Familiarity with healthcare data modernization and interoperability standards is a plus.
 
Technical Skills:
AWS Cloud Architecture
Generative AI / GenAI
LLM Integration
MCP (Model Context Protocol)
AI Guardrails
Responsible AI
MLOps
Terraform / CloudFormation
Kubernetes / Docker
Python
API Design
DevSecOps
CI/CD Pipelines
Enterprise Systems Integration
Data & AI Governance
RAG Architectures
Vector Databases
Bedrock / SageMaker
 
Work Environment
95% Remote
Occasional onsite meetings in Washington, D.C.
Collaborative enterprise architecture and innovation environment
Opportunity to lead next-generation AI transformation initiatives