AI Engineer
Listed on 2026-05-20
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Engineering
Data Engineer, AI Engineer
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) – L07 (OA0741)
Salary Range: Grade 06: $85,000 - $115,000 / year;
Grade 07: $105,000 - $130,000
- 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.
- 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.
- 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.
- Competitive salaries
- Continuing education assistance
- Multiple healthcare benefits packages
- 401K with employer matching
- Paid time off (PTO) along with a federally recognized holiday schedule
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).
Equal Employment Opportunity StatementBNH 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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