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AI Engineer

Job in Manchester, Coffee County, Tennessee, 37349, USA
Listing for: Beyond New Horizons
Full Time position
Listed on 2026-05-01
Job specializations:
  • Engineering
    Data Engineering, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 105000 - 130000 USD Yearly USD 105000.00 130000.00 YEAR
Job Description & How to Apply Below

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) – L07 (OA0741)

Salary Range

Grade 06: $85,000 - $115,000 / year;
Grade 07: $105,000 - $130,000

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.

Responsibilities
  • 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
  • Grade 06: A Bachelor of Science in Computer Science, Statistics, Mathematics, Engineering, or a related field from an accredited university.
  • Grade 07: A Bachelor of Science in Computer Science, Statistics, Mathematics, Engineering, or a related field from an accredited university and at least 2 years of relevant experience.
  • 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 Tensor Flow, 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 Dev Sec Ops  methodologies.
  • A deep understanding of various machine learning techniques and their real‑world advantages and drawbacks.
Benefits
  • Competitive salaries
  • Continuing education assistance
  • Multiple healthcare benefits packages
  • 401K with employer matching
  • Paid time off (PTO) along with a federally recognized holiday schedule
Hiring Information

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.

Equal Opportunity Statement

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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