Solution Architect, Lead
AI summary of the role
Lead solution architect role at Booz Allen, requiring 7+ years of experience as a solution architect or technical lead, with 3+ years supporting the Center for Analytics.
What you’ll do
- Work closely with clients to understand their questions and needs and dig into their data-rich environments
- Guide and mentor your team as you oversee the development of algorithms and systems
- Use the right combination of tools and frameworks to turn disparate data points into objective answers
- Identify new opportunities to use data science solutions to help clients meet their toughest challenges
What you’ll bring
- 7+ years of experience as a solution architect, technical lead, or data analytics SME
- 3+ years of experience supporting the Center for Analytics
- Experience working with AI models, Gen AI, and data platforms
- Experience developing technical AI architectures and AI governance and process
Technologies
AI models · Gen AI · data platforms · Databricks · Palantir · Oracle · SAP · .NET · SQL Server · Azure · AWS GovCloud
About Booz Allen
Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.
Public · 5000+ people
Source and classification
Deployment strategy · Evidence for this classification:
Solution Architect, Lead The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to findHow jobs are selected
Employer postings · Data from · Sources