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New

AI Engineer

Beyond New Horizons
paid time off, 401(k)
100 Kindel Dr. (Show on map)
Feb 04, 2026

AI Engineer
Job Locations

US-TN-Arnold AFB



Requisition Number
2026-23050

Category
Information Technology

Category
Information Technology



Overview

Job Title: AI Engineer

Location: Arnold AFB, TN

Job Family Code: Digital Enterprise

Function/Branch: Engineering/Digital Enterprise

Directorate: Engineering & Tech Support

Position Type: Regular, Full-Time

Pay Type: Exempt

Grade : L06 (OA0643)

Salary Range or Starting Hourly Rate (provided by HR): $85,000 - $115,000 / year

Overview

Beyond New Horizons, LLC (BNH) is seeking a talented AI Engineer to join our Digital Enterprise team. In this role, you will lead the implementation of data-centered projects that directly improve AEDC's ground test data infrastructure, facility operations, and business systems. You will work with multidisciplinary teams to find new opportunities to leverage data, drive critical decisions, and help design a modern data architecture from the ground up.

This is a unique opportunity to apply your AI and data engineering skills to solve complex challenges of national importance.

Open to internal and external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours.

Job Summary

Beyond New Horizons, LLC (BNH) is the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC) at Arnold Air Force Base in Tennessee. AEDC operates more than 55 aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states. Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world. AEDC is one of three installations which are part of the Air Force Test Center (AFTC), one of six subordinate commands of the Air Force Materiel Command organization, and an important national resource.

AEDC's mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, and ground and flight test. Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.

Job Duties:

    Develop and implement enterprise-level artificial intelligence (AI) strategies and programs.
  • Automate manual processes and optimize data delivery by re-designing infrastructure for greater scalability.
  • Utilize machine learning tools to select features, build, and optimize classifiers that generate actionable insights from complex test data.
  • Identify, assess, and integrate new data sources and data-gathering techniques.
  • Lead AI proof-of-concept projects to explore new applications and technologies.
  • Collaborate with diverse engineering and technical teams to implement models and monitor their outcomes.
  • Define and develop processes to monitor and analyze model performance and data accuracy.
  • It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
  • Perform other related duties as required.

Basic Qualifications:

  • A Bachelor of Science in Computer Science, Statistics, Mathematics, Engineering, or a related field from an accredited university.
  • Must be a current U.S. Citizen and able to obtain and maintain a security clearance.

Preferred Qualifications:

  • A Master's degree in a relevant technical field.
  • 3+ years of professional experience in software development or AI-related roles.
  • Proficiency with AI frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Strong coding skills in languages such as Python, Java, or C++, along with SQL.
  • Experience with the full data lifecycle: ETL, data mining, APIs, and data warehousing.
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud) and DevSecOps methodologies.
  • A deep understanding of various machine learning techniques and their real-world advantages and drawbacks.

What We Offer

  • Competitive salaries
  • Continuing education assistance
  • Multiple healthcare benefits packages
  • 401K with employer matching
  • Paid time off (PTO) along with a federally recognized holiday schedule

Who We Are

U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount BNH is willing to pay at the time of this posting. Salaries for part-time jobs will be adjusted based upon the number of hours agreed to work.

Arnold Airforce Base $85,000 - $115,000/year

BNH is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, veteran status, and any other grounds for discrimination prohibited by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Join our Team!

BNH is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, veteran status, and any other grounds for discrimination prohibited by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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