
Specializing in digital transformation and artificial intelligence.
IT Systems Engineer at Booz Allen Hamilton
About the role
IT Systems Engineer:
The Opportunity:
Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in aerospace and national defense? You understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications, makes you an integral part of delivering a customer-focused engineering solution.
As a systems engineer on our team, you have the chance to shape the development and upgrades of aerospace systems across multiple defense, civilian, and space domains by leading digital engineering, and model-based systems engineering activities. Your customer will trust you to not only design and develop these systems but also evolve them with advanced technology solutions. On our team, you’ll be able to broaden your skillset into areas like model-based design, model-based systems engineering, digital engineering, and technical analyses. Grow your skills by merging technical engineering expertise and model-based engineering to create digital engineering solutions that drive client missions. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.
Join us. The world can't wait.
You Have:
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5+ years of experience with IT Engineering and systems integration, including Digital Engineering Tool integrations and exploration of AI/ML solutions to improve integration workflows
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Experience with AI/ML platforms such as Tensor Flow, Py Torch, Keras, or scikit-learn to develop or deploy machine learning solutions for systems engineering or IT operations
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Experience building, deploying, maintaining, and optimizing AI-based applications
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Experience with both Linux and Windows operating systems
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Experience applying AI techniques to improve system performance, predictive analytics, or anomaly detection
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Experience with AWS, Azure, or GCP cloud ecosystems and cloud-based AI/ML services such as Amazon Sage Maker, Azure ML, or Google AI Platform
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Experience with networking and cybersecurity principles, including implementing AI-assisted threat detection and response mechanisms
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Knowledge of AI-driven solutions in IT systems accreditation and compliance with SRG or STIG requirements
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Secret clearance
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Bachelor’s degree in Engineering, Data Science, Computer Science, or a STEM field
Nice If You Have:
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Experience applying AI/ML techniques to requirements and architecture development across the systems development lifecycle (SDLC)
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Experience performing analysis studies using AI/ML in modeling and simulation environments, such as predictive simulations or behavior analysis
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Experience supporting aerospace systems engineering activities, incorporating AI-based methodologies for design optimization and predictive maintenance
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Experience with scripting languages, such as Python, R, and Bash or PowerShell, for developing or automating AI processes
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Knowledge of AI-based tools for exploring big data analytics and automation platforms that integrate AI capabilities, such as Ansible, Terraform, or CloudFormation
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Possession of excellent verbal and written communication skills, especially in translating technical AI/ML concepts for varied stakeholders
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Master’s degree in AI, Machine Learning, Engineering, or related fields
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Certified fluency in modeling languages, such as UML, SysML, and OMG Certified Systems Modelling Professional (OCSMP) Certification
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Cloud+, AWS Solutions Architect Associate or Professional, Azure, or GCP Certification
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CSEP or ASEP INCOSE Systems Engineering Professional 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.
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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.
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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.
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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.
Required skills
Systems engineering
Systems integration
Digital engineering
MBSE
AI/ML
Technical analysis
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About Booz Allen Hamilton

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
$4.2B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
4.0
Compensation
2.5
Culture
4.2
Career
2.8
Management
3.5
68%
Recommend to a friend
Pros
Supportive management
Good work-life balance
Flexible work arrangements
Cons
Low compensation
Limited growth opportunities
Long hours during peak periods
Salary Ranges
37 data points
Junior/L3
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Engineer
1 reports
$149,500
total per year
Base
$115,000
Stock
-
Bonus
-
$149,500
$149,500
Interview experience
3 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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