AI Architect Jobs in Virginia
AI Architect jobs in Virginia are among the most actively recruited technology roles in the mid-Atlantic region, concentrated heavily in federal defense contracting, cloud infrastructure, and enterprise digital transformation across experience levels from associate to principal. Northern Virginia, Richmond, and the Reston-Tysons corridor are the primary hiring hubs, where firms like Booz Allen Hamilton, Leidos, and SAIC maintain large AI and advanced analytics practices. The most in-demand specialties include large language model deployment, MLOps pipeline architecture, and AI governance for regulated federal environments. Find a role that fits below and apply directly.
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Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/30/2026
Work you'll do
As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.
- Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption
- Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence
- Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview
- Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting
- Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI
- Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses
- Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
A successful candidate would possess these skills:
? Ability to work independently and collaborate as part of a team
? Ability to translate finance outcomes into clear architecture decisions
? Effective written, verbal, and executive communication skills
? Meticulous attention to detail and quality of work product
? Ability to build and sustain professional relationships
? Ability to lead projects or workstreams
? Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
? Ability to meet deadlines
? Ability to mentor and provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.
Qualifications
Required:
- 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
- 4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment
- 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview
- Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization
- Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls
- Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports
- Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field
- 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/30/2026
Work you'll do
As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.
- Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption
- Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence
- Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview
- Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting
- Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI
- Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses
- Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
A successful candidate would possess these skills:
? Ability to work independently and collaborate as part of a team
? Ability to translate finance outcomes into clear architecture decisions
? Effective written, verbal, and executive communication skills
? Meticulous attention to detail and quality of work product
? Ability to build and sustain professional relationships
? Ability to lead projects or workstreams
? Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
? Ability to meet deadlines
? Ability to mentor and provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.
Qualifications
Required:
- 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
- 4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment
- 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview
- Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization
- Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls
- Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports
- Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field
- 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams
See All 67 AI Architect Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find AI Architect JobsAI Architect Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
AI Architect Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Booz Allen Hamilton10
- Amazon Web Services7
- Accenture3
- Battelle2
- Unissant2
Top Industries Hiring
- Technology & Software
- Automotive
- Distribution & Wholesale
- Consulting & Professional Services
What Virginia Employers Look For
The qualifications that appear most often in AI architect jobs across Virginia.
- Bachelor's or master's degree in computer science, AI, or a related engineering discipline
- Demonstrated experience designing and deploying machine learning or deep learning systems at scale
- Proficiency with major cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Experience with MLOps tooling including model versioning, monitoring, and automated retraining pipelines
- Ability to obtain or maintain a U.S. security clearance for defense and federal contractor roles
- Strong communication skills to present AI architecture decisions to non-technical stakeholders
AI Architect Jobs in Virginia: Frequently Asked Questions
How do you become a ai architect in Virginia?
There is no state-issued license required to work as an ai architect in Virginia, so the path runs through education and credentials recognized by employers. Most Virginia employers expect a bachelor's degree in computer science, data science, or engineering at minimum, with a master's degree competitive at senior levels. Vendor certifications from AWS, Microsoft Azure, or Google Cloud carry significant weight with Northern Virginia's federal contractor community, and a portfolio of deployed AI systems is often as persuasive as additional degrees.
How much do AI architects make in Virginia?
AI architects in Virginia earn a median of about $139,030 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,130 for the lowest 10% to over $185,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Virginia?
Employers hiring ai architects in Virginia right now include Booz Allen Hamilton, Amazon Web Services, and Accenture, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of federal defense contractors and intelligence community partners means many of the most consistent openings come from systems integrators and government technology firms headquartered in the Northern Virginia corridor.
Which Virginia cities have the most ai architect jobs?
McLean, Arlington, and Ashburn have the most ai architect openings in Virginia. Northern Virginia's dominance reflects the region's dense cluster of federal agencies, defense contractors, and hyperscale data center operators, while Richmond and other secondary markets draw demand from large financial services firms, healthcare systems, and state government technology modernization initiatives.
Are there remote ai architect jobs in Virginia?
Yes, and more than most technical fields, because ai architecture work centers on design, documentation, and code review that translates well to distributed teams. About 58% of ai architect openings tied to Virginia are remote or hybrid as of September 2026, though positions tied to classified federal programs typically require on-site presence at cleared facilities. The most fully remote opportunities tend to sit with commercial enterprise clients rather than defense contractors.
How can I get hired as a ai architect in Virginia with little or no experience?
The most realistic entry path is moving laterally from a data engineering, software development, or machine learning engineer role where you have already built and deployed predictive models. Large Northern Virginia employers including Booz Allen Hamilton and Leidos run associate and entry-level technology development programs that accept candidates with strong fundamentals but limited architecture experience. Building a public portfolio on GitHub demonstrating model deployment, cloud infrastructure setup, and system design documentation gives Virginia hiring managers concrete evidence of readiness, and an AWS or Azure AI certification accelerates that transition considerably.
Where can I find and apply to ai architect jobs in Virginia?
You can find and apply to ai architect jobs in Virginia on Migrate Mate, which lists current Virginia openings across the Northern Virginia corridor, Richmond, and beyond. Find roles that fit your experience and apply directly to the employers posting them.
See All 67 AI Architect Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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