The Opportunity:

You are a forward-thinking digital engineer, passionate about solving complex problems through a systematic approach, strong technical skills, and data-centric analysis to answer critical questions. 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. You apply leading-edge principles, theories, and concepts to provide highly innovative solutions. You are resourceful, leveraging script-based and low or no-code automation or AI tools to streamline and enhance workflows across engineering functions. You seek continuous improvement, are quick to learn new technologies and methods, and motivated to put in the focused effort needed to deliver high‑quality results.

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.

Join us. The world can’t wait.

You Have:

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

• Knowledge of software programming and using automation or AI to enhance work

• Ability to display a strong desire to learn new technologies, tools, and engineering practices quickly, and apply new skills with confidence

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

• Ability to break down complex problems into practical, manageable steps

• Ability to obtain a Secret clearance

• Bachelor's degree in a STEM field

Nice If You Have:

• Experience with 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

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

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

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

• 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 tools such as MATLAB, STK, ModelCenter, or TeamCenter

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

• Possession of excellent verbal and written communication skills

Clearance:

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

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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.