The Opportunity

You are a forward-thinking professional, passionate about solving complex problems through a systematic approach, strong technical skills, and data-centric analysis. You demonstrate a willingness to learn and grow as an engineer, actively seeking opportunities to expand your knowledge and skillset. You excel at working independently while collaborating effectively with interdisciplinary teams and stakeholders. You have experience implementing systems engineering approaches to support full lifecycle engineering and product development, and you are eager to deepen your expertise in these areas.

You apply leading-edge principles, theories, and concepts to provide innovative solutions, and you are resourceful—leveraging script-based and low or no-code automation/AI tools to streamline and enhance workflows across engineering functions. In this role, you will contribute to the development of the next generation of systems engineering, integrating human-in-the-loop processes and quality guardrails to ensure reliable outcomes. You are encouraged to take initiative, ask questions, and seek mentorship from senior engineers to accelerate your growth.

Join us. The world can’t wait.

You Have

• Experience with performing systems engineering and scientific analysis, and developing systems engineering products

• Experience with software programming and using automation or AI to enhance work

• Knowledge of practical Model Based Systems Engineering (MBSE) for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody

• Ability to learn new technologies, tools, and engineering practices

• Ability to establish collaborative relationships with stakeholders or teammates to achieve goals

• Secret clearance

• Bachelor's degree in a STEM field

Nice If You Have

• Experience with project management, product testing, quality assurance, or quality control

• Experience working with cloud computing platforms such as AWS, Azure, or GCP

• Experience utilizing DevSecOps tools such as GitHub Actions to build and manage CI/CD pipelines

• Experience with RAG technologies and LLM frameworks such as LangChain or LlamaIndex, LLM model registries such as Hugging Face, and embedding models and vector databases

• Experience with full-stack software development, including RESTFul APIs, Node.js, JavaScript, or React

• Experience with tools like MATLAB, STK, ModelCenter, or TeamCenter

• Possession of excellent verbal and written communication skills

• Master’s degree in Engineering or Science and Technology

• Modeling language Certification, such as UML or SysML OMG Certified Systems Modelling Professional (OCSMP) Certification

• INCOSE Systems Engineering Professional Certification such as CSEP or ASEP 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.

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.