IT Systems Engineer

Job Number: R0239412 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 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 Experience with AI/ML platforms such as TensorFlow, PyTorch, Keras, or scikit‑learn to develop or deploy machine learning solutions for systems engineering or IT operations Experience building, deploying, maintaining, and optimizing AI‑based applications Experience with both Linux and Windows operating systems Experience applying AI techniques to improve system performance, predictive analytics, or anomaly detection Experience with AWS, Azure, or GCP cloud ecosystems and cloud‑based AI/ML services such as Amazon SageMaker, Azure ML, or Google AI Platform Experience with networking and cybersecurity principles, including implementing AI‑assisted threat detection and response mechanisms Knowledge of AI‑driven solutions in IT systems accreditation and compliance with SRG or STIG requirements Secret clearance Bachelor's degree in Engineering, Data Science, Computer Science, or a STEM field Nice If You Have Experience applying AI/ML techniques to requirements and architecture development across the systems development lifecycle (SDLC) Experience performing analysis studies using AI/ML in modeling and simulation environments, such as predictive simulations or behavior analysis Experience supporting aerospace systems engineering activities, incorporating AI‑based methodologies for design optimization and predictive maintenance Experience with scripting languages, such as Python, R, and Bash or PowerShell, for developing or automating AI processes Knowledge of AI‑based tools for exploring big data analytics and automation platforms that integrate AI capabilities, such as Ansible, Terraform, or CloudFormation Possession of excellent verbal and written communication skills, especially in translating technical AI/ML concepts for varied stakeholders Master's degree in AI, Machine Learning, Engineering, or related fields Certified fluency in modeling languages, such as UML, SysML, and OMG Certified Systems Modelling Professional (OCSMP) Certification Cloud+, AWS Solutions Architect Associate or Professional, Azure, or GCP Certification CSEP or ASEP INCOSE Systems Engineering Professional Certification Clearance Secret clearance required Compensation Salary range: $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 our total compensation package. Benefits include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs. Individuals who do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. Work Model 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. #J-18808-Ljbffr Booz Allen Hamilton