SPA Job - 50551026 | CareerArc
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Company: SPA
Location: Norfolk, VA
Career Level: Entry Level
Industries: Manufacturing, Engineering, Aerospace

Description

Qualifications

Required:

  • Active Secret clearance
  • Bachelor's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field; OR 4 years minimum professional experience in the area of Data Science, ML, or AI within the last 5 years
  • Minimum 5 years in the last 8 years working in Data Science, Machine Learning, or AI Engineering in a professional environment
  • Minimum 3 years in the last 5 years in integrating AI technologies into practical applications, preferably in simulation or wargaming contexts
  • Proficiency in AI and ML frameworks and tools, such as TensorFlow, PyTorch, scikit-learn, etc.
  • Experience with generative AI models, in particular Large Language Models (LLMs) like GPT-3 or GPT-4
  • Minimum 3 years in the last 8 years in data collection, analysis, and visualization using tools such as Python, R, Tableau, or PowerBI
  • Understanding of wargaming principles and methodologies with a demonstrated ability to apply AI to enhance wargaming scenarios
  • Knowledge of Multi-Domain Operations (MDO) and military strategic, operational, and tactical planning
  • Minimum 3 years in the last 5 years providing technical guidance and support to teams with varying levels of AI expertise
  • Ability to effectively communicate complex concepts to non-technical stakeholders
  • Proven ability to work collaboratively in cross-functional and cross-directorate teams
  • Experience in managing AI-related projects, including planning, execution, and (analytical) reporting
  • Demonstrated ability to design and conduct experiments to test AI applications in real-world scenarios
  • Knowledge of data security principles and best practices, and ensuring the integrity and confidentiality of data used in AI applications


Responsibilities

Data Exploitation and Artificial Intelligence (AI) are essential elements of NATO's digital transformation, enabling faster, data-driven decision-making and operational efficiency. These technologies are crucial for building a more adaptive and responsive NATO, ready to meet the challenges of Multi-Domain Operations (MDO) and a rapidly evolving security landscape.  As NATO's command dedicated to future warfare, SACT leads efforts to explore, develop, and integrate latest technologies into military capabilities to transform the Alliance.  NATO has recognized wargaming as a critical enabler for future warfare development.  It is essential for planning and decision-making, simulating complex military scenarios to provide strategic, operational, and tactical insights.  Allied Command Transformation (ACT) is delivering the wargaming capability for NATO, and it already employs wargaming to understand military challenges and explore new technologies and strategies.  ACT aims to refine NATO's understanding and use of wargaming, specifically by integrating AI, thus enhancing its capabilities and accelerating AI adoption.

 

The AI Integrator will be part of the Data Science and AI Team, ACT's new cross-functional and cross-directorate hub for data science, data exploitation, and AI to facilitate collaboration and provide access to resources and expertise, ensuring efficient use of technologies, seamless integration, digital transformation, and Multi-Domain Operations (MDO) capability development efforts.  Will contribute to the integration of AI in NATO's warfare development efforts and capability development, in particular wargaming.  Collaborate with wargaming experts, in particular in the Experimentation and Wargaming Branch, to identify key areas where AI can enhance wargaming activities; for example (but not limited to) wargaming design, scenario development, analysis, adjudication, and support to human teams. Collaborate with members of the DSAI team and other stakeholders at ACT and ACO on ongoing initiatives.  Support development of a roadmap for the integration of AI into NATO wargaming. Support the integration of traditional AI methods and specifically generative AI (Large Language Models/LLMs) into wargaming, improving strategic depth and enhanced execution of wargames.  Support scenario development enhancement by developing supplementary pre-briefing materials such as videos and adversary modelling.  Implement data collection and analysis methods to extract actionable insights and patterns from wargaming datasets.  Develop real-time analytics and visualizations to support decision-making during wargaming simulations.

 

Support human-machine teaming by integrating AI tools that enhance collaboration between human participants and AI systems.  Design and conduct experiments to test the effectiveness of AI applications in wargaming scenarios.  Document and present findings from AI integration experiments to stakeholders, proposing continuous improvements.  Ensure data integrity and security in all AI-related wargaming activities, considering NATO's principles of responsible use for AI and data. Support collaboration with relevant stakeholders to share knowledge and best practices for AI integration.  Provide technical guidance and support to wargaming experts who lack a technical background in AI.  Develop analytical reports summarizing the results and impact of AI-enhanced wargaming exercises.  Explore using AI to automate writing of after-action reports and other administrative tasks using LLMs, machine learning, and robotic process automation.  Coordinate with cross-functional and cross-directorate teams to ensure seamless integration of AI technologies.  Create and maintain comprehensive documentation for AI integration processes and methodologies.  Participate in workshops, conferences, and meetings to stay updated on the latest AI technologies and their applications in wargaming.  Support training development and provision in support of NATO personnel on the use and benefits of AI in wargaming.  Travel to meetings and conferences both within and outside NATO's boundaries for up to 30 days per year.  Support other related data science and AI requirements within ACT as needed.

 


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