Product Architect Visa Sponsorship Jobs in Washington DC
Washington DC's federal contracting ecosystem drives strong demand for product architects, with employers like Booz Allen Hamilton, Leidos, SAIC, and Deloitte Federal regularly sponsoring skilled workers. The city's concentration of defense, technology, and government IT sectors makes it one of the more active markets on the East Coast for product architect visa sponsorship roles.
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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
Product Architect Job Roles in Washington DC
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Search Product Architect Jobs in Washington DCProduct Architect Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for product architects in Washington DC?
Federal contractors and technology consulting firms are among the most active sponsors for product architects in Washington DC. Companies like Booz Allen Hamilton, Leidos, SAIC, Accenture Federal Services, and Deloitte Federal have established visa sponsorship programs and regularly hire for senior technical architecture roles. Large commercial technology employers with DC-area offices also sponsor, though federal contractor demand tends to dominate this market.
Which visa types are most common for product architect roles in Washington DC?
The H-1B visa is the most common visa for product architects in Washington DC, as the role typically requires a bachelor's degree or higher in computer science, engineering, or a related field, meeting specialty occupation requirements. Multinational candidates may qualify for L-1A or L-1B transfers. Australians holding an E-3 visa are also eligible, and some candidates pursue O-1 visa status if they have demonstrable distinguished achievement in their field.
How to find product architect visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find product architect roles in Washington DC without sifting through positions that won't support work authorization. The platform surfaces openings across federal contractors, technology consulting firms, and commercial employers active in the DC market. Searching by role and location on Migrate Mate saves significant time compared to unfiltered job searches.
Which areas in Washington DC have the most product architect sponsorship jobs?
Most product architect sponsorship activity in the DC area is concentrated along the technology corridor spanning Washington DC proper, Northern Virginia (particularly Arlington, McLean, Reston, and Tysons), and parts of suburban Maryland including Bethesda and Rockville. Northern Virginia is especially active given its density of federal contractors, cybersecurity firms, and data center operators who regularly hire senior technical roles with visa sponsorship.
Are there any Washington DC-specific considerations for product architects seeking visa sponsorship?
Federal contracting roles in Washington DC often require security clearance eligibility, which can limit options for foreign nationals during the sponsorship or early green card process since clearances generally require lawful permanent residence or citizenship. Product architects targeting DC should prioritize commercial technology firms or contractor roles explicitly open to non-citizens. The DC metro area's prevailing wage determinations tend to reflect the region's competitive senior technology compensation, which employers must meet when filing Labor Condition Applications.
What is the prevailing wage for sponsored product 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.