Sr. Systems Engineer Lead w/ Active Top Secret Clearance

LMI
Tysons, VA, United States
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Systems Engineering Microsoft Azure Cloud Computing Data Architecture Machine Learning Openapi Google Cloud Containerization Kubernetes Information Technology
+1 more
Docker

Job description

LMI is seeking a Sr. Systems Engineer Lead to provide senior technical leadership and oversight for Department of Veterans Affairs (VA) modernization initiatives. This role combines independent solution-architecture judgment with practical AI and technology-governance leadership so complex solutions are technically feasible, secure, supportable, responsible, and aligned with VA enterprise constraints.

This position follows a hybrid work model, with an expectation of approximately 25% onsite presence at LMI’s Tysons headquarters or Washington, DC.

The successful candidate will:

  • Evaluate solution alternatives, integration patterns, data architectures, and emerging technologies to ensure technical feasibility, security, and alignment with VA enterprise constraints.
  • Lead the design and implementation of AI/ML solutions, including model selection, training, validation, deployment, and monitoring.
  • Ensure AI solutions adhere to ethical guidelines, fairness, transparency, and accountability principles.
  • Collaborate with cross-functional teams, including software developers, data scientists, and cybersecurity experts, to deliver end-to-end solutions.
  • Provide technical mentorship and guidance to junior engineers and developers.
  • Stay current with industry trends and best practices in AI, cloud computing, and systems engineering.
  • Contribute to the development of technical documentation, including system design documents, API specifications, and user manuals.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • 8+ years of experience in systems engineering, with a focus on AI/ML and cloud technologies.
  • Proven experience in designing and implementing AI/ML solutions, including model development, deployment, and monitoring.
  • Strong understanding of AI ethics, fairness, transparency, and accountability principles.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Excellent communication and leadership skills, with the ability to influence and guide cross-functional teams.
  • Active Top Secret clearance required.

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