Technical Solutions Architect Visa Sponsorship Jobs in Washington DC
Washington DC's technical solutions architect market is anchored by government contractors, federal agencies, and technology consultancies. Major employers including Booz Allen Hamilton, Leidos, SAIC, and Deloitte Federal regularly hire for these roles, often requiring security clearance alongside technical depth. Demand is concentrated in the broader DC metro area spanning Northern Virginia and Maryland.
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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
Technical Solutions Architect Job Roles in Washington DC
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Search Technical Solutions Architect Jobs in Washington DCTechnical Solutions Architect Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for technical solutions architects in Washington DC?
Government contractors and technology consultancies are the most active sponsors in DC. Firms like Booz Allen Hamilton, Leidos, SAIC, Accenture Federal Services, and Deloitte's federal practice regularly file H-1B visa petitions for technical solutions architect roles. Large commercial technology companies with DC offices, including Microsoft, Google, and Amazon Web Services, also sponsor these positions, particularly for roles supporting federal cloud initiatives.
Which visa types are most common for technical solutions architect roles in Washington DC?
The H-1B is the most common visa category for technical solutions architects in DC, given the role's classification as a specialty occupation requiring at least a bachelor's degree in a related technical field. Professionals from Canada or Mexico may qualify under the TN visa. Candidates with extraordinary ability or multinational manager backgrounds may explore O-1 visa or L-1 visa options depending on their specific qualifications and employer circumstances.
How to find technical solutions architect visa sponsorship jobs in Washington DC?
Migrate Mate filters technical solutions architect roles specifically by employers who have a documented history of visa sponsorship, saving you from applying to companies that won't support your work authorization. For Washington DC, focus your search on the government contracting and federal IT sectors, which represent the largest concentration of these roles. Migrate Mate's DC listings cover both the city itself and the broader Northern Virginia and Maryland corridor.
Which areas in Washington DC have the most technical solutions architect sponsorship jobs?
Most technical solutions architect roles in the DC market are concentrated in Northern Virginia, particularly the Tysons Corner, Reston, and Arlington corridors, which house major government contractors and technology firms. The DC city core itself has strong demand from consulting firms and federal agency contractors. Bethesda and Rockville in Maryland also have a meaningful presence, especially for health IT and defense-adjacent employers.
Are there any DC-specific considerations for technical solutions architect visa sponsorship?
The DC market has a notable complication for international candidates: many government contractor roles require a U.S. security clearance, which is generally not available to non-U.S. citizens. This narrows sponsorship opportunities to commercial-facing or unclassified project work. Universities in the region, including Georgetown and George Mason, produce graduate-level talent that feeds into local employer pipelines, and some of these employers have established sponsorship processes for qualified candidates.
What is the prevailing wage for sponsored technical 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.