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Agentic AI Engineer

Booz Allen Hamilton
Maryland, USA
Full-time
Onsite
$77,600 to $176,000
Discovered 1 months ago
Machine learning engineeringData scienceLarge language modelsPythonNeural networksLSTMs

Full Job Posting

The Opportunity

The engineer will support a high-visibility Booz Allen product designed for network analysts.

The role involves training, testing, deploying, and maintaining models that learn from data.

The engineer will apply machine learning algorithms and technologies to mission-critical national security solutions.

Responsibilities

  • Conduct statistical analyses of business processes using machine learning techniques.
  • Contribute to machine learning strategy and solution direction.
  • Collaborate with software developers, analysts, and leaders.
  • Help deliver agentic AI solutions for real-world national security challenges.

You Have

  • At least 1 year of experience in machine learning engineering and data science.
  • Experience developing applications with large language models.
  • Experience with Python.
  • Knowledge of neural networks, LSTMs, regression, tree-based models, and support vector machines.
  • Knowledge of agent planning, reasoning, execution loops, and context window management.
  • Ability to work independently in a fast-paced environment.
  • Ability to obtain a TS/SCI clearance.
  • Bachelor's degree in an AI field.

Nice If You Have

  • Experience with Go or software design patterns.
  • Experience with model evaluation and AI quality metrics.
  • Knowledge of semantic search, vector databases, and retrieval-augmented generation.
  • A TS/SCI clearance.

Compensation

  • The projected compensation range is $77,600 to $176,000 annualized USD.
  • Compensation depends on location, education, skills, experience, and contract and organizational factors.
  • Benefits include health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Work Model

  • The posting explains remote, hybrid, and onsite work models but does not identify which model applies to this position.
  • Remote or hybrid employees may sometimes work at or visit Booz Allen or customer facilities.

Clearance and Hiring Notes

  • Applicants may be subject to a security investigation and eligibility requirements for classified information access.
  • The hiring process includes identity verification and prohibits AI assistance during interviews unless explicitly permitted.

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