Principal Digital Engineer

Modern Technology Solutions IncHuntsville, AL

About The Position

MTSI is looking for a talented Principal Digital Engineer to join our team! In this role you will get to provide digital ecosystem, cloud architecture, and Model-based System Engineering expertise in support of the Missile Defense Agency Chief Digital Officer (CDO) mission.

Requirements

  • MS in STEM field.
  • 12+ years related experience in software integration, systems engineering, or enterprise architecture.
  • Experience with API design and integration.
  • Working knowledge of MBSE and SysML.
  • Experience building enterprise dashboards.
  • Experience with cloud environments and container technologies.
  • Active or Interim Secret clearance.

Nice To Haves

  • Experience supporting DoD programs.
  • Experience with Cameo, MagicDraw, Sparx EA, or Rhapsody.
  • Experience with Power BI, Tableau, Grafana, or Kibana.
  • Experience with Kubernetes, GitLab, Terraform, and CI/CD pipelines.
  • Knowledge of Link 16, tactical data links, and C2 architectures.
  • Knowledge of AI-enabled workflows and digital engineering ecosystems to include Semantic Search, RAG Architectures, LLM Integration, Agentic AI Frameworks, AI Orchestration Platforms, and Data Fabric Architectures.

Responsibilities

  • Able to combine expertise in API integration, cloud architecture, model-based systems engineering, dashboard development, DevSecOps, tactical interoperability, and digital engineering to coordinate and accelerate delivery of operational capabilities.
  • Lead onboarding and integration of external software, models, simulations, AI tools, and operational capabilities.
  • Design and implement secure API-based integrations and data exchange architectures.
  • Design and implement AI-enabled digital ecosystems supporting human-machine teaming.
  • Develop integration architectures connecting APIs, data services, semantic layers, knowledge graphs, and AI orchestration frameworks.
  • Implement semantic data models and ontologies to improve AI reasoning and data discoverability.
  • Develop AI-ready data pipelines that transform structured and unstructured data into consumable knowledge assets.
  • Integrate Large Language Models (LLMs), agentic AI frameworks, and workflow automation services into enterprise environments.
  • Develop enterprise dashboards and common operational pictures.
  • Support MBSE activities using SysML, activity diagrams, and block diagrams.
  • Develop common data models and integration standards.
  • Support tactical interoperability including Link 16 and gateway architectures.
  • Support DevSecOps pipelines and cloud-native deployments.
  • Provide technical recommendations to government leadership.
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