Cloud Solutions Architect Visa Sponsorship Jobs in Washington DC
Washington DC's cloud solutions architect market is driven by federal contractors, defense agencies, and technology firms like Booz Allen Hamilton, Leidos, and SAIC. Demand spans cybersecurity, government cloud migrations, and multi-cloud infrastructure work. Many employers here actively sponsor H-1B visa and other work visas for qualified architects with experience in AWS, Azure, or Google Cloud.
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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
Cloud Solutions Architect Job Roles in Washington DC
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Search Cloud Solutions Architect Jobs in Washington DCCloud Solutions Architect Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for cloud solutions architects in Washington DC?
Federal contractors and IT services firms are the most active sponsors in the DC area. Companies like Booz Allen Hamilton, Leidos, SAIC, Deloitte, Accenture Federal Services, and ManTech regularly file H-1B petitions for cloud solutions architects. Commercial technology firms and cloud consulting practices operating in the DC metro also sponsor, particularly for roles supporting government cloud modernization projects.
Which visa types are most common for cloud solutions architect roles in Washington DC?
The H-1B is the most common visa for cloud solutions architects in Washington DC, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. L-1B visas are used by multinational firms transferring architects with specialized knowledge. Australian citizens may qualify for the E-3 visa, and Canadian and Mexican nationals may be eligible under the TN visa category.
How to find cloud solutions architect visa sponsorship jobs in Washington DC?
Migrate Mate filters cloud solutions architect roles specifically by visa sponsorship availability and location, making it straightforward to identify DC-area employers actively willing to sponsor. Given how many federal contractors operate in this market, filtering by sponsorship history is particularly useful here. Searching on Migrate Mate with the Washington DC location filter surfaces roles at government-adjacent tech firms and commercial employers that regularly file petitions for this role.
Which cities in Washington DC have the most cloud solutions architect sponsorship jobs?
Washington DC itself is the primary hub, but the broader metro area matters just as much. Arlington and Tysons Corner in Virginia host major defense contractors and cloud consulting firms. Bethesda and Rockville in Maryland are home to government agencies and their IT vendors. Most visa-sponsored cloud architect roles are concentrated along the I-270 and I-495 corridors where federal contractor offices cluster.
Are there any DC-specific considerations for cloud solutions architects seeking visa sponsorship?
Security clearances are a significant factor in the DC market. Many federal contractor roles require or prefer clearance eligibility, which can complicate sponsorship for foreign nationals since clearances are generally unavailable to non-US persons. However, numerous commercial and unclassified government IT projects actively sponsor cloud architects without clearance requirements. Experience with FedRAMP compliance and government cloud environments strengthens candidacy for DC-area roles considerably.
What is the prevailing wage for sponsored cloud 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.