Artificial Intelligence Solutions Architect, Senior

Booz Allen Hamilton•McLean, VA
•$99,000 - $225,000

About The Position

Designs and implements effective AI solution architecture or strategy using various AI technologies and methods to address clients’ business problems and needs, while complying with organizational strategies, business goals, and key ethical considerations. Applies advanced advising skills or extensive technical expertise and full industry knowledge to develop innovative solutions to complex problems. Works without considerable direction and mentors and may supervise team members.

Requirements

  • 5+ years of experience implementing IT systems, applications, and infrastructure.
  • 5+ years of experience in AI/ML and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks.
  • 5+ years of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment.
  • 3+ years of experience deploying solutions using the Amazon AI product tool suite, SageMaker Studio, and Bedrock.
  • 3+ years of experience using LLMs, GenAI applications, or agentic AI orchestration frameworks.
  • Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements.
  • Experience training and fine-tuning LLMs.
  • Knowledge of Big Data solutions, data migration technologies, and processes.
  • TS/SCI clearance with a polygraph.
  • Bachelor’s degree in a technology field such as Computer Science or Statistics.

Nice To Haves

  • 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.
  • Master’s degree in a technology field, such as Computer Science or Statistics; a doctorate degree in a related technology field is a plus.
  • Security, Cloud, or Software Development Certification.

Responsibilities

  • Design and implement AI solution architecture or strategy to address clients’ business problems and needs.
  • Ensure AI solutions comply with organizational strategies, business goals, and ethical considerations.
  • Develop innovative solutions to complex problems.
  • Provide advanced advising and technical expertise.
  • Mentor and potentially supervise team members.
  • Lead architecture, platform engineering, and development teams on enterprise cloud engagements.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards program.
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