AI Solution Architect, Lead

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: McLean, VA
Salary: $112,800–$257,000 / yr
Employment: Full-time
Posted: 12 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k

This role $185k

$95k $274k

below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $162,000–$227,525 — the blue band above. At the midpoint, this role pays about $185k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · AI Solution Architect, Lead

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The AI Solution Architect, Lead joins the team to design and deliver production-grade AI systems, cloud-native platforms, and reusable architecture baselines for national security initiatives. This role involves collaborating with engineers and mission partners to develop agentic AI systems, retrieval-augmented generation pipelines, multi-agent orchestration, and DevSecOps capabilities. You will move research and prototypes into working systems while establishing repeatable technical patterns. Key technologies include LangChain, LangGraph, AWS Bedrock Agents, CrewAI, Kubernetes, and AWS services. You must utilize tools like GitHub Actions, Terraform, Helm, and CloudFormation while programming in Python and languages like TypeScript, JavaScript, Java, or Go. The work requires navigating complex technical requirements within federal, Department of Defense, or government programs, including IL4, IL5, FedRAMP, or AWS GovCloud environments.

Skills

Python AWS Kubernetes Terraform LangChain LangGraph AWS Bedrock Agents CrewAI DevSecOps CI/CD GitHub Actions Helm CloudFormation TypeScript JavaScript Java Go NVIDIA NeMo TensorRT-LLM Triton Inference Server Argo CD Backstage RAG GitOps

What you'll do

Design and deliver production-grade AI systems and cloud-native platforms.
Develop agentic AI systems, retrieval-augmented generation (RAG) pipelines, and multi-agent orchestration.
Create reusable architecture baselines and repeatable technical patterns for mission-critical systems.
Implement DevSecOps, CI/CD, and Infrastructure-as-Code capabilities using tools like Terraform and GitHub Actions.
Execute complex technical workstreams to move research and prototypes into working production systems.
Architect highly available, scalable, and resilient cloud environments using AWS or Kubernetes.
Provide technical guidance and mentorship to architects and engineering teams.

What we're looking for

8+ years of experience architecting and delivering enterprise AI, cloud, and platform solutions for government or regulated environments.
Experience designing production-grade AI systems using agentic frameworks like LangChain, LangGraph, AWS Bedrock Agents, or CrewAI.
Experience architecting highly available, scalable, and resilient cloud environments using AWS services or Kubernetes.
Experience implementing DevSecOps, CI/CD, and Infrastructure-as-Code using tools such as GitHub Actions, Terraform, Helm, or CloudFormation.
Experience programming in Python and at least one additional language including TypeScript, JavaScript, Java, or Go.
Experience leading or co-architecting research, development, or prototyping initiatives in ambiguous environments.
Knowledge of federal, Department of Defense, or government programs including IL4, IL5, FedRAMP, or AWS GovCloud.
Bachelor’s degree.

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