Solutions Architect Visa Sponsorship Jobs in Washington DC
Washington DC's solutions architect market is driven by federal IT modernization, defense contractors, and cloud-heavy agencies. Major employers including Booz Allen Hamilton, Leidos, SAIC, and AWS have a strong presence here, with many roles tied to government cloud infrastructure and security clearance requirements that attract substantial visa sponsorship activity.
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Get Access To All JobsJob 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
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
Solutions Architect Job Roles in Washington DC
See all 33+ Solutions Architect Jobs in Washington DC
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Search Solutions Architect Jobs in Washington DCSolutions Architect Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for solutions architects in Washington DC?
Federal contractors and technology firms are the most active sponsors in the DC area. Companies like Booz Allen Hamilton, Leidos, SAIC, Deloitte Federal, and AWS regularly sponsor H-1B visas for solutions architect roles. Cloud platform vendors and large systems integrators supporting government agencies also sponsor consistently, given the high demand for specialized cloud, security, and enterprise architecture expertise in the region.
Which visa types are most common for solutions architect roles in Washington DC?
The H-1B is the most common visa for solutions architects in DC, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, engineering, or a related field. Candidates with advanced credentials may also find employers open to O-1A petitions. Australian citizens can pursue the E-3 visa, and Canadian and Mexican nationals may qualify under TN visa status for qualifying technology roles.
How to find solutions architect visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship eligibility, making it straightforward to find solutions architect roles in Washington DC without sorting through positions that don't offer sponsorship. Given how many DC-area employers require security clearances or prefer candidates already in status, filtering for confirmed sponsorship roles on Migrate Mate saves significant time during your search.
Which areas in Washington DC have the most solutions architect sponsorship jobs?
Washington DC itself is the primary hub, but the broader metro area includes major technology and contracting corridors in Northern Virginia, particularly around Tysons Corner, Reston, and Arlington, as well as parts of Maryland near Bethesda and Rockville. Many federal contractors and cloud vendors concentrate their technical hiring in these Northern Virginia corridors, which are among the densest areas for solutions architect sponsorship roles in the country.
Are there any DC-specific considerations for solutions architects seeking visa sponsorship?
Security clearance eligibility is a significant factor in the DC market. Many solutions architect roles supporting federal agencies require a Secret or Top Secret clearance, which non-US citizens are generally ineligible to hold, narrowing the sponsored pool to commercial and cleared-civilian-adjacent work. Employers sponsoring international candidates typically focus on commercial cloud practices or unclassified government work. Prevailing wage requirements under the H-1B still apply and are set at levels reflecting DC's competitive technology market.
What is the prevailing wage for sponsored solutions architect jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.