Enterprise IT AI Solution Architect

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
McLean, VA
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $186k
$132k $235k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $155,000–$216,725.

Based on 240 similar postings.

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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 · Enterprise IT AI Solution Architect

The Enterprise IT AI Solution Architect designs and implements AI solution architectures and strategies to address complex business problems while adhering to organizational goals and ethical considerations. Working independently, you will mentor team members and develop innovative solutions for real-world data challenges, including cleaning, transforming, and joining datasets. You will build and ship working prototypes using Python and leverage LLM engineering to enhance applications. The role requires expertise in enterprise IT service delivery, infrastructure, and technology operations. Key technologies include AWS, Azure, GCP, Databricks, LangChain, and vector databases to build end-to-end GenAI applications like agents, copilots, or RAG pipelines. You must identify and mitigate risks such as hallucinations, security, and bias while performing build versus buy assessments to determine business impact and ROI.

What you'll do

  • Design and implement AI solution architectures to address specific client business problems.
  • Develop innovative solutions for complex problems while adhering to organizational goals and ethical considerations.
  • Clean, transform, and join messy real-world datasets to support model development.
  • Build and ship working prototypes using programming languages such as Python.
  • Engineer and enhance applications using LLMs and GenAI tools.
  • Build end-to-end GenAI applications including agents, copilots, or RAG pipelines.
  • Identify and mitigate AI risks such as hallucinations, security vulnerabilities, or bias.
  • Assess feasibility and value through build vs. buy decisions and ROI analysis.

What we're looking for

  • U.S. citizenship is required.
  • Experience delivering AI, data, or automation solutions.
  • Experience in enterprise IT, including service delivery, applications, infrastructure, networking, and modernization.
  • Experience cleaning, transforming, and joining messy, real-world datasets for application or model development.
  • Experience using AI or GenAI tools such as LLM engineering to build or enhance applications.
  • Ability to independently build and ship working prototypes using programming languages such as Python.
  • Experience building end-to-end GenAI applications using platforms like Databricks, AWS, Azure, GCP, LangChain, or vector databases (preferred).
  • Bachelor's degree.

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