Digital Engineering & MBSE Architect - Clearance Required

LMI•Belcamp, MD

1d•Hybrid

About The Position

LMI is looking for an accomplished Digital Engineering SME specializing in system architecture strategy, requirements elicitation, and federal DE policy execution to support our Army clients. This candidate will be skilled in building collaborative, interoperable digital environments and accelerating mission-critical platform modernization. This position requires a Secret clearance. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Requirements

7+ years of experience with BS in engineering, mathematics, computer science, or related technical discipline
Secret clearance required.
Comfortable with all phases of the systems engineering lifecycle
Must be self-directed, detail oriented, and able to coordinate and work with a dynamic team
Able to communicate effectively and confidently with end users, technologists, team members, and executive management
Process driven analysis skills and a background in various requirements elicitation methods
Demonstrated experience with (at least some of the following): Federal / DoD DE policies and ecosystems
MBSE approaches and methodologies
MBSE tools such as Magic Draw, Cameo, DOORS, etc
Object-oriented programming languages such as SysML, UPDM, UAF, Python, Java, C++, etc
Agile Development methods
System architecture development incorporating Modular Open Systems Approach (MOSA)

Nice To Haves

10 years of experience with MS in engineering, mathematics, computer science, or related technical discipline
Knowledge of technologies that use deep learning and neural networks to create content or perform tasks such as AI, machine learning, LLMs, GenAI, etc
Knowledge of the Army software development process and technologies
Comfortable using CI/CD processes and Git
OCSMP Level 1 and/or 2 certification(s)

Responsibilities

Research DE ecosystem technologies and methodologies to identify means for effective implementation of federal DE guidance and policies
Identify opportunities for innovating and pairing complimentary DE technologies in support of data interoperability and user productivity across the product lifecycle
Identify, design, test, develop, and deliver innovative DE ecosystem use case concepts to improve customer productivity and data interoperability across the product lifecycle
Work in partnership with customers and stakeholders to develop strategic roadmaps for innovative DE technologies
Collaborate with and lead team of domain experts, stakeholders, and systems engineers to develop and execute tactical plans for strategy implementation
Develop enterprise and systems architecture models using model based engineering methodologies, languages, and tools, to accurately document and maintain system authoritative source of truth
Collaborate with team of domain subject matter experts, system engineers, other partners, and stakeholders to develop models of modular complex sensor data integration systems using systems modeling languages such as SysML and UAF
Assess engineering artifacts and develop models of system architecture using Digital Engineering and MBSE methodologies and tools such as Cameo
Apply Modular Open Systems Approach (MOSA) principles within MBSE frameworks to ensure system interoperability, maintainability, and seamless technology insertion.
Establish traceability between system requirements and architecture models by integrating MBSE environments with requirements management platforms like IBM DOORS.
Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users