AI Architect

Booz Allen HamiltonAshburn, VA

About The Position

AI Architect The Opportunity : For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management leveraging Artifi cia l Intelligence ( AI ) can enable more efficient operations, yielding more growth. As an AI Architect, you know how to leverage industry standard tools to help organizations manage their data assets. We’re looking for an experience d AI Architect like you to deliver leading-edge solutions for national security. As an AI Architect on our team, you’ll use your technical expertise to design data architecture solutions for Service Oriented Architecture, Event-Driven Architecture, virtualization, big data analytics, and cloud computing. You’ll resolve routine data architecture issues in collaboration with business analysts and technology teams by working with project staff to make decisions and recommendations on future data architecture developments. With your drive to establish processes and lead technological innovation, you’ll make a lasting impact on mission. Join us. The world can’t wait.

Requirements

  • 10+ years of experience implementing enterprise IT systems, applications, and infrastructure
  • 4+ years of experience with AI and data science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks
  • Experience with the Amazon AI product tool suite, Sage Maker studio, and Bedrock
  • Experience architecting and implementing highly available, scalable, and resilient FedRAMP enterprise cloud environments
  • Experience leading architecture, platform engineering, and development teams on enterprise cloud e nga gements
  • Knowledge of big data solutions and data migration technologies and processes
  • Ability to deploy production application to an AWS cloud environment
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in a Computer Science or Engineering field

Nice To Haves

  • Experience providing technical guidance to architects and engineers
  • Experience training LLMs
  • Experience working in GCP or Micro sof t Azure
  • Knowledge of security and compliance requirements for cloud-based solutions, network architecture, and security principles
  • Security, Cloud, or Sof t war e Development Certification , including AI, ML, Computer Vision, Deep Learning, or NLP Certification s

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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