System Engineer (AI/ML & System Integrator) (N)

Posted 12 Hours Ago
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Norfolk, VA
Senior level
Information Technology
The Role
The Artificial Intelligence Integrator will support NATO's wargaming capability development by integrating AI techniques. Responsibilities include collaborating with experts, enhancing wargaming activities, developing AI-related materials, conducting experiments, and providing data analytics to improve decision-making processes.
Summary Generated by Built In

ONSITE AND CONTINGENT UPON AWARD
Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the below listed position and is contingent upon award.
Job Description:
SimIS seeks an Artificial Intelligence Integrator to support a multi-national Data Science and AI Team within a new cross-functional and cross-directorate hub for data science, data exploitation and Artificial Intelligence to facilitate collaboration, provide access to resources and expertise, ensuring efficient use of technologies, and seamless integration digital transformation and Multi-Domain Operations (MDO) capability development efforts. We aim at refining our customers understanding and use of wargaming, specifically by integrating AI enhancing its capabilities and accelerating AI adoption thoughout the organization.
The successful candidate will provide a resume that demonstrates SUBJECT MATTER EXPERTISE in performing the following tasks/requirements:

Specific Requirements:

  • As a member of the Data Science & Artificial Intelligence (DSAI) Team, the candiate will contribute to the integration of artificial intelligence within 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, support to human teams.
  • Collaborate with members of the DSAI team and other stakeholders at ACT and ACO, as directed, on ongoing initiatives.
  • Support development of a roadmap for the integration of AI into organizational wargaming.
  • Support the integration of traditional AI methods and specifically generative AI (Large Language Models/LLMs) into wargaming, improving, for example, 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, for example, using Power BI.
  • 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 in particular organizational principles of responsible use for AI and data.
  • Explore, in collaboration with the DSAI team, using AI to automate writing of e.g. after-action reports, and other administrative tasks, using, for example, LLMs, machine learning, and robotic process automation.
  • Travel to meetings and conferences as required.

Qualifications and Experience Required:

  • BS degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science.
  • Minimum of 5 years’ experience in data science, machine learning, or AI engineering in a professional environment (not including studies).
  • Minimum of 3 years’ experience integrating AI technologies into practical applications, preferably in simulation or wargaming contexts.
  • Proficiency in AI and machine learning 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 of 3 years’ experience in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI.
  • Understanding of wargaming principles and methodologies, with a demonstrated ability to apply AI to enhance wargaming scenarios.

Benefits:

  • Medical, Dental, and Vision
  • Short Term Disability (at no cost to you) and Long Term Disability
  • Life Insurance
  • 401(k) Savings Plan
  • Tuition Assistance Program
  • Paid Time Off (PTO)
  • 11 Federal Holidays each year

SimIS, Inc. is an AA / EOE / M / F / Disability / VET / Drug Free Employer

Top Skills

Artificial Intelligence
Data Science
Generative Ai
Large Language Models
Power BI
The Company
Stafford, VA
67 Employees
On-site Workplace
Year Founded: 2007

What We Do

Founded in 2007, SimIS Inc. (SimIS), is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success.
SimIS will provide our clients quality and innovative information technology solutions that will model the future and secure the enterprise, in order to sustain corporate growth and provide a challenging and rewarding environment for employee success.

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