Systems Engineer 2 (AI)

Job Description

Insight Global is seeking a Systems Engineer II for a federal client in Suffolk, VA. This team is building software that brings AI into joint training and wargaming workflows, so users can ask for things like scenario details, definitions, or planning help and get usable outputs back in the training tools. They’re wiring up data pipelines that feed real‑time and near‑real‑time training and test data into those AI capabilities, then integrating the results into Joint Training Tools and the Fully Informed Simulation Environment (FISE). The goal is to speed up exercise planning and updates, enable more dynamic scenarios (including AI‑driven OPFOR behaviors), and improve after‑action insights across the broader joint training ecosystem.
Essential Job Responsibilities:

· Lead systems engineering activities across the full lifecycle, including requirements development, architecture design, integration, testing, and sustainment.

· Define and manage system requirements to support integration of foundational and frontier AI models into JTSE and Joint Training Tools.

· Develop and maintain system architectures that enable real-time and near-real-time data integration from operational and test & evaluation sources.

· Ensure interoperability across multiple combatant commands, services, and training systems within a unified environment.

· Coordinate integration of AI-enabled capabilities into simulation environments, including Fully Informed Simulation Environment (FISE).

· Establish and enforce interface control documents (ICDs), data standards, and system integration frameworks.

· Support advanced exercise planning, execution, and after-action review by ensuring systems enable data collection, synchronization, and analysis.

· Collaborate with stakeholders across government, industry, and mission partners to align system capabilities with modernization objectives and operational needs.

· Conduct system-level testing, verification, and validation (V&V) to ensure performance, reliability, and mission effectiveness.

· Identify and mitigate technical risks related to system integration, scalability, and performance.

· Support DevSecOps implementation, ensuring secure and continuous delivery of system capabilities.

· Document system designs, architectures, and integration processes.

Required Skills & Experience

· 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.

· Experience with systems engineering processes (requirements management, architecture development, integration, and testing).

· Familiarity with distributed systems, data architectures, and system interoperability.

· Understanding of AI/ML concepts and their integration into operational systems.

· Experience developing system documentation, including requirements, architecture diagrams, and interface specifications.

· Ability to work across multidisciplinary teams and manage competing priorities.

· Strong analytical and problem-solving skills.

· Basic understanding of artificial intelligence and machine learning concepts.

· Experience working in Linux-based development environments.

Nice to Have Skills & Experience

· Experience integrating or deploying AI/ML models, including large-scale or foundation models.

· Familiarity with modern AI frameworks.

· Experience integrating AI/ML models, including foundational or large-scale models, into enterprise systems.

· Familiarity with Joint Training and Simulation environments such as JTSE, JLVC, or similar DoD systems.

· Experience with real-time data integration and streaming architectures.

· Knowledge of DoD architecture frameworks and model-based systems engineering (MBSE) tools.

· Experience supporting joint, multi-domain, or coalition operations and exercises.

· Understanding of data governance, data standards, and enterprise data strategies.

· Experience with simulation environments or synthetic training systems.

· Familiarity with DevSecOps pipelines and secure system deployment in classified environments.

· Relevant certifications (Security+, CISSP, AWS, Kubernetes, or similar).

Compensation:

$45/hr to $50hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable laws.