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Booz Allen Hamilton

AI/ML Software Engineer

Reposted 3 Days Ago
Be an Early Applicant
In-Office
Rome, NY
87K-198K Annually
Senior level
In-Office
Rome, NY
87K-198K Annually
Senior level
The AI/ML Software Engineer will design, develop, and deploy AI/ML solutions for the Department of War and Intelligence Community, focusing on enhancing operational capabilities and decision-making processes.
The summary above was generated by AI
AI/ML Software Engineer

The Opportunity: 
As an AI software engineer, you know that good software is more than just a nice-looking interface + data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation—we’re looking for a software engineer like you to create artificial intelligence and machine learning solutions that help solve The Department of War (DoW) and Intelligence Community's (IC) toughest problems.

On our team, you’ll create and implement complete end‑to‑end solutions that modernize DoW and IC ISR mission and weapon‑system environments. You’ll ensure that your team’s solutions consider the broader enterprise ecosystem, spanning multi‑domain data, secure ISR architectures, and emerging mission applications as well as future functionality and enhancements needed to accelerate capability transition to operational users.

At a high level, you will design, develop, integrate, and deploy advanced AI/ML‑driven software and analytics that strengthen ISR decision advantage and modernization efforts for the DoW and IC. Additionally, you’ll deepen your skill set in areas like secure ISR data engineering, advanced analytics, operational prototyping, software-defined ISR architectures, DevSecOps pipelines, and mission‑focused AI/ML experimentation all within some of the DoW's and IC’s most critical R&D and mission‑engineering environments.

Ready to transform ISR mission systems and next‑generation warfighter capabilities for the better with AI technology?

Join us. The world can’t wait. 

You Have:  

  • 5+ years of experience with Python

  • 5+ years of experience with common ML frameworks, such as PyTorch, TensorFlow, or scikitlearn

  • 3+ years of experience developing, training, and deploying AI/ML models, including supervised, unsupervised, and deep learning

  • Experience with software engineering, including version control, automated testing, CI/CD, and containerization practices consistent with modern ML engineering expectations

  • Experience building endtoend data and ML pipelines, including data ingestion, feature engineering, model evaluation, and integration into operational systems

  • Ability to work in secure, missionfocused environments and collaborate with crossfunctional teams, including data engineers, developers, and ISR mission SMEs to align solutions with DoW and IC priorities

  • Secret clearance

  • Bachelor’s degree in Computer Science, Data Science, Engineering and 5+ years of experience with AI/ML or Master's degree and 3+ years of experience with AI/ML

Nice If You Have:  

  • Experience with MLOps frameworks and tooling, including MLflow, Kubeflow, experiment tracking, and reproducible pipelines

  • Experience with cloud or onprem secure compute environments, such as AWS, Azure, GCP, or highside mission systems

  • Experience with emerging techniques, including generative AI, LLM finetuning, and RAG

  • Experience in softwaredefined ISR architectures, DevSecOps pipelines, or operational prototyping in government R&D ecosystems

  • Knowledge of ML lifecycle best practices

  • TS/SCI clearance

  • Master's degree

  • AI/ML certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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