Modern Technology Solutions, Inc.
Principal Data & AI Solutions Engineer - Joint Simulation Environment (JSE)
Modern Technology Solutions, Inc., North Las Vegas, Nevada, United States, 89095
We are seeking a highly innovative and adaptable Principal Data & AI Solutions Engineer to join our team at Edwards Air Force Base, CA or Nellis AFB, NV, directly supporting the Joint Simulation Environment (JSE).
This dynamic and evolving role offers a foundational opportunity to make a significant impact, shaping the data strategy and leveraging cutting‑edge technology for a critical national defense asset. The ideal candidate will possess expertise in data engineering, advanced data visualization, and the strategic application of Artificial Intelligence (AI) to empower JSE leadership and military customers with superior data‑driven decision‑making capabilities for system performance assessment, anomaly resolution, and warfighting capability evaluation. This individual will be a proactive champion for the introduction of cutting‑edge data tools, automation strategies, and AI capabilities to significantly enhance the JSE’s ability to support warfighter needs and accelerate critical test and acquisition outcomes. This role requires a self‑starter capable of defining value, embracing diverse challenges, and leading data exploitation in a high‑stakes defense environment. It also requires a skilled practitioner who will develop and implement solutions while a larger team is constituted. This role will navigate the complexities of vast and diverse test data generated across a distributed JSE environment, potentially spanning multiple classified networks and locations (Edwards, Nellis, Pax River, Alaska). The individual will contribute to understanding the current data landscape and architect scalable solutions to manage ever‑increasing volumes of complex data from future, more variable test events.
Roles & Responsibilities AI/ML Application & Innovation: Identify, prototype, and implement cutting‑edge AI/Machine Learning (ML) solutions to significantly enhance JSE test data analysis and operational effectiveness. This includes developing automated identification of critical events, rapid anomaly detection (especially in high‑speed data streams and real‑time feeds), predictive modeling for system performance envelopes, and intelligent data querying for complex test scenarios. Leverage AI/ML to identify and track key Measures of Effectiveness (MOE) and Measures of Performance (MOP), providing automated insights into system behavior and unlocking deeper understanding of simulated system performance. Investigate and implement AI‑driven solutions to automate and optimize aspects of the test planning and execution lifecycle, such as intelligent test point selection, scenario generation, and resource allocation.
Advanced Dashboarding & Visualization: Lead the design, development, and implementation of intuitive, high‑impact data dashboards and visualization tools (e.g., Power BI, Tableau, custom web applications). These solutions will translate complex JSE test data into actionable insights for JSE leadership, test aircrews, and military customers, enabling rapid, high‑confidence decision‑making on tactical mission performance, system‑under‑test behavior, threat effectiveness, and aircrew‑system interaction. Automate data pipelines and reporting processes to ensure timely and accurate delivery of critical performance metrics and trends.
Experimentation & Rapid Prototyping: Execute rapid prototyping efforts and proof‑of‑concept demonstrations for new data visualization, automation, and AI/ML capabilities. Drive iterative development cycles to quickly demonstrate value and gain stakeholder feedback for continuous improvement.
Technical Advocacy & Tool Adoption: Act as the primary advocate for adopting new data tools, visualization platforms, and AI/ML technologies within the JSE. Research emerging industry trends and present compelling cases for their introduction, outlining potential benefits for data efficiency, insights generation, and overall JSE mission effectiveness.
Customer & Stakeholder Collaboration: Collaborate directly with JSE leadership, Test Pilot School graduates, and senior military customers to understand their specific data needs.
Data Quality & Governance: Support the establishment and refinement of best practices for data quality, integrity, and security across all JSE data assets. Implement robust processes for data validation, error checking, and classification to ensure the
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This dynamic and evolving role offers a foundational opportunity to make a significant impact, shaping the data strategy and leveraging cutting‑edge technology for a critical national defense asset. The ideal candidate will possess expertise in data engineering, advanced data visualization, and the strategic application of Artificial Intelligence (AI) to empower JSE leadership and military customers with superior data‑driven decision‑making capabilities for system performance assessment, anomaly resolution, and warfighting capability evaluation. This individual will be a proactive champion for the introduction of cutting‑edge data tools, automation strategies, and AI capabilities to significantly enhance the JSE’s ability to support warfighter needs and accelerate critical test and acquisition outcomes. This role requires a self‑starter capable of defining value, embracing diverse challenges, and leading data exploitation in a high‑stakes defense environment. It also requires a skilled practitioner who will develop and implement solutions while a larger team is constituted. This role will navigate the complexities of vast and diverse test data generated across a distributed JSE environment, potentially spanning multiple classified networks and locations (Edwards, Nellis, Pax River, Alaska). The individual will contribute to understanding the current data landscape and architect scalable solutions to manage ever‑increasing volumes of complex data from future, more variable test events.
Roles & Responsibilities AI/ML Application & Innovation: Identify, prototype, and implement cutting‑edge AI/Machine Learning (ML) solutions to significantly enhance JSE test data analysis and operational effectiveness. This includes developing automated identification of critical events, rapid anomaly detection (especially in high‑speed data streams and real‑time feeds), predictive modeling for system performance envelopes, and intelligent data querying for complex test scenarios. Leverage AI/ML to identify and track key Measures of Effectiveness (MOE) and Measures of Performance (MOP), providing automated insights into system behavior and unlocking deeper understanding of simulated system performance. Investigate and implement AI‑driven solutions to automate and optimize aspects of the test planning and execution lifecycle, such as intelligent test point selection, scenario generation, and resource allocation.
Advanced Dashboarding & Visualization: Lead the design, development, and implementation of intuitive, high‑impact data dashboards and visualization tools (e.g., Power BI, Tableau, custom web applications). These solutions will translate complex JSE test data into actionable insights for JSE leadership, test aircrews, and military customers, enabling rapid, high‑confidence decision‑making on tactical mission performance, system‑under‑test behavior, threat effectiveness, and aircrew‑system interaction. Automate data pipelines and reporting processes to ensure timely and accurate delivery of critical performance metrics and trends.
Experimentation & Rapid Prototyping: Execute rapid prototyping efforts and proof‑of‑concept demonstrations for new data visualization, automation, and AI/ML capabilities. Drive iterative development cycles to quickly demonstrate value and gain stakeholder feedback for continuous improvement.
Technical Advocacy & Tool Adoption: Act as the primary advocate for adopting new data tools, visualization platforms, and AI/ML technologies within the JSE. Research emerging industry trends and present compelling cases for their introduction, outlining potential benefits for data efficiency, insights generation, and overall JSE mission effectiveness.
Customer & Stakeholder Collaboration: Collaborate directly with JSE leadership, Test Pilot School graduates, and senior military customers to understand their specific data needs.
Data Quality & Governance: Support the establishment and refinement of best practices for data quality, integrity, and security across all JSE data assets. Implement robust processes for data validation, error checking, and classification to ensure the
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