AI Engineer

$75,600 - $172,000/Yr

Booz Allen Hamilton - Washington, DC

posted 24 days ago

Part-time,Full-time - Mid Level
Washington, DC
Professional, Scientific, and Technical Services

About the position

The AI Engineer at Booz Allen Hamilton is responsible for designing and implementing artificial intelligence solutions that address clients' business challenges. This role requires advanced consulting skills and technical expertise to develop innovative solutions to complex problems while mentoring team members. The position involves working independently and applying various AI technologies and methods in alignment with the company's strategies and goals.

Responsibilities

  • Design and implement effective AI solution architecture.
  • Utilize various AI technologies and methods to address clients' business problems.
  • Develop innovative solutions to complex problems.
  • Work without considerable direction.
  • Mentor and supervise team members as needed.

Requirements

  • 3+ years of experience with artificial intelligence, data science, machine learning engineering, data or software engineering research, full stack engineering, or data analytics.
  • Experience with software and artificial intelligence projects.
  • Experience with a programming language, including Python, Scala, or Java.
  • Experience with deep learning, computer vision, NLP, or signal processing machine learning development.
  • Knowledge of modern software design patterns, including microservice design or edge computing.
  • Ability to obtain a security clearance.
  • Bachelor's degree.

Nice-to-haves

  • Experience with embedded systems programming in C, C++, or Rust.
  • Experience with GPU programming, including CUDA or RAPIDs.
  • Experience with modern Cloud computing technologies, including Docker.
  • Ability to gather requirements from customers and lead Agile teams.
  • Doctorate degree in Computer Science or Statistics.

Benefits

  • Health insurance
  • Life insurance
  • Disability insurance
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
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