Artificial Intelligence Solutions Architect, Senior

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

About The Position

The Senior Artificial Intelligence Solutions Architect designs and implements AI solution architectures and strategies using a range of AI technologies and methods to address clients’ business problems and needs. Solutions must align with organizational strategies and business goals while accounting for key ethical considerations. The role applies advanced advising skills and extensive technical expertise, develops innovative solutions to complex problems, works without considerable direction, and mentors and may supervise team members.

Requirements

  • At least 4 years of experience implementing IT systems, applications, and infrastructure.
  • At least 3 years of experience using LLMs, GenAI applications, or agentic AI orchestration frameworks.
  • At least 2 years of experience in AI or ML and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks.
  • At least 1 year of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment.
  • Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements.
  • Knowledge of deploying solutions using the Amazon AI product tool suite, SageMaker Studio, and Bedrock.
  • Knowledge of Big Data solutions, data migration technologies, and processes.
  • Ability to train and fine-tune LLMs.
  • TS/SCI clearance with a polygraph.
  • Bachelor's degree.

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 in a related technology field is a plus.
  • Security, Cloud, or Software Development certification.

Responsibilities

  • Design and implement AI solution architectures and strategies to address client business problems and needs.
  • Ensure AI solutions align with organizational strategies, business goals, and ethical considerations.
  • Develop innovative solutions to complex problems.
  • Lead architecture, platform engineering, and development teams on enterprise cloud engagements.
  • Train and fine-tune large language models.
  • Mentor and potentially supervise team members.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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