Senior Artificial Intelligence Solutions Architect

Booz Allen Hamilton

. Design and implement effective AI solution architecture or strategy using various AI technologies and methods .

Posted 11/4/2026full-timeMcLean • Virginia • United StatesSenior💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI solution architecture, leveraging advanced advising skills and extensive technical knowledge. Proficient in deploying solutions using Amazon AI tools and training LLMs while ensuring compliance with security and ethical standards.

Highest-signal resume keywords

AI Solution ArchitectureLLM Training and Fine-TuningAmazon AI Product ToolsCloud Environment DesignBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingAI and MLData ScienceBig Data TechnologiesSageMaker StudioBedrockHiveQPySparkDatabricks

Soft Skills

Advising SkillsMentoringIndependent Work

Tools & Technologies

Amazon AI ToolsGCPMicrosoft Azure

Certifications & Qualifications

Security CertificationCloud CertificationSoftware Development Certification

Industry Keywords

Enterprise Cloud EngagementsData Migration TechnologiesSecurity and Compliance RequirementsNetwork ArchitectureEthical Considerations

Tech Stack

Tools & technologies

AzureCloudGoogle Cloud PlatformPySparkPythonTypeScript

About the role

Key responsibilities & impact

Design and implement effective AI solution architecture or strategy using various AI technologies and methods
Address clients' business problems and needs while complying with organizational strategies, business goals, and ethical considerations
Apply advanced advising skills and extensive technical expertise
Develop innovative solutions to complex problems
Work independently without considerable direction
Mentor and may supervise team members
Lead architecture, platform engineering, and development teams on enterprise cloud engagements
Deploy solutions using Amazon AI product tools, SageMaker Studio, and Bedrock
Train and fine-tune LLMs

Requirements

What you’ll need

4+ years of experience implementing IT systems, applications, and infrastructure
3+ years of experience using LLMs, GenAI applications, or agentic AI orchestration frameworks
2+ years of experience in AI or ML and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks
1+ years of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment
Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements
Knowledge of deploying solutions using the Amazon AI product tool suite, Sage Maker Studio, and Bedrock
Knowledge of Big Data solutions, data migration technologies, and processes
Ability to train and fine-tune LLMs
TS/SCI clearance with a polygraph required
Bachelor's degree
Experience providing technical guidance to architects and engineers
Experience working in GCP or Microsoft Azure
Knowledge of security and compliance requirements for cloud-based solutions, network architecture, and security principles
Security, Cloud, or Software Development Certification

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program for exceptional performance and superior demonstration of values