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Artificial Intelligence Solutions Architect – Mid
EEOCAI Solutions Architect designing and implementing various AI solution architectures for clients' business problems and needs. Must have significant experience in AI technologies and infrastructure.
Posted 7/14/2026full-timeMcLean • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $77,600 - $176,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI solution architecture, leveraging Python programming and big data technologies to solve complex business problems. Proficient in creating scalable cloud environments and utilizing Amazon AI tools while adhering to ethical considerations and organizational strategies.
Highest-signal resume keywords
AI Solution ArchitecturePython ProgrammingCloud Environment DesignAmazon AI ToolsTS/SCI Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI TechnologiesData ScienceBig Data SolutionsData MigrationLLMsGenAI ApplicationsAgentic AI OrchestrationHivePySparkDatabricks
Soft Skills
Independent WorkGuidance of Junior Employees
Tools & Technologies
Amazon SageMakerBedrockSynapse
Certifications & Qualifications
TS/SCI Clearance
Industry Keywords
Enterprise Cloud EnvironmentScalable SolutionsEthical Considerations
Tech Stack
Tools & technologiesCloudPySparkPythonTypeScript
About the role
Key responsibilities & impact- Designs and implements effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations.
- Applies specific functional knowledge, working or general industry knowledge.
- Develops or contributes to solutions to a variety of problems of moderate scope and complexity.
- Works independently with some guidance, may review or guide activities of more junior employees.
Requirements
What you’ll need- 3+ years of experience implementing IT systems, applications, and infrastructure
- 3+ years of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment
- 2+ years of experience in AI and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks
- 2+ years of experience using the Amazon AI product tool suite, Sage Maker studio, and Bedrock
- 2+ years of experience using LLMs, GenAI applications, and agentic AI orchestration frameworks
- Knowledge of Big Data solutions, data migration technologies, and processes
- TS/SCI clearance with a polygraph
- Bachelor's degree in a Technology field, such as Computer Science or Statistics
Benefits
Comp & perks- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program