MBSE & Digital Threads Engineer

MBSE & Digital Threads Engineer 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 Model-Based Systems Engineering (MBSE) approaches and developing digital threads 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 tools to streamline and enhance workflows across engineering functions. In this role, you will contribute to operationalizing generative AI for 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 performing systems engineering analysis and developing systems engineering products for government systems or mission critical systems Experience with practical 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 Knowledge of script-based and low-code or no-code automation Ability to perform multiple systems engineering and program management functions in support of program milestone reviews Ability to communicate effectively and establish collaborative relationships with government clients and associate contractor stakeholders or teammates to achieve program goals Bachelor's degree in a STEM field Nice If You Have: 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 development, including RESTFul APIs, Node.js, JavaScript, or React Experience with software product testing and QA or QC Experience with programming automation, including Python or Java Experience with MATLAB, STK, ModelCenter, or TeamCenter Experience with U.S. government space systems such as NASA or DoD Master's degree in Engineering Industry Certifications such as OCSMP or ASEP Certification 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 $62,000.00 to $141,000.00 (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. Note: Microsoft Internet Explorer is not fully compatible with Workday and users may experience systems issues with this browser. 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