AI Engineer Entry to Expert Level (Maryland)

Summary

As an AI Engineer at NSA you will design & implement mission-critical AI systems that keep the agency at the cutting edge of intelligence collection processing & reporting to keep the nation safe. Youll apply expertise in data science plus software data & systems engineering to build deploy & maintain AI systems while addressing entire AI life cycle including infrastructure management efficient model training production deployment performance monitoring & continuous optimization.

Duties

AI Engineers will:
- Lead or contribute to cross-functional teams to develop and operationalize AI solutions that help solve our most challenging problems.
- Apply modern engineering techniques to design develop deploy and maintain end-to-end AI workflows spanning model training inference and performance monitoring.
- Adapt and integrate diverse AI model architectures including computer vision systems natural language processors audio processors large language models (LLMs) and multi-modal frameworks to address complex mission-critical challenges.
- Monitor and maintain AI products through systematic identification of performance degradation and computational inefficiency and address these challenges through regular fine-tuning to ensure continued alignment with evolving mission needs and organizational goals.
- Maintain knowledge of current AI research and adapt emerging techniques to intelligence applications.
- Test and evaluate AI solutions against mission requirements and produce actionable recommendations.

Requirements

Conditions of employment

• All applicants and employees are subject to random drug testing in accordance with Executive Order 12564.

Qualifications

ENTRY
Note that different degree fields have different requirements as described below. For degrees in Computer Science or Engineering entry is with an Associates degree plus 2 years of relevant experience or a Bachelors degree and no experience or a Masters degree and no experience. For degrees in Information Systems Information Technology Mathematics Applied Mathematics Statistics Applied Statistics Operations Research Artificial Intelligence Data Science or Physical or Biological Sciences entry is with an Associates degree plus 3 years of relevant experience or a Bachelors degree and 1 year of relevant experience. Relevant experience must be in one or more of the following: implementing production scale AI/ML (Artificial Intelligence / Machine Learning) solutions distributed model training distributed AI/ML systems AI/ML performance monitoring platform engineering cloud engineering developing deep learning models neural networks sustaining/maintaining AI/ML models implementing AI/ML algorithms AI/ML model development and deployment DevOps MLOps cloud infrastructure management software engineering automated testing or containerization.

FULL PERFORMANCE Note that different degree fields have different requirements as described below. For degrees in Computer Science or Engineering entry is with an Associates degree plus 5 years of relevant experience or a Bachelors degree plus 3 years of relevant experience or a Masters degree plus 1 year of relevant experience or a Doctoral degree and no experience. For degrees in Information Systems Information Technology Mathematics Applied Mathematics Statistics Applied Statistics Operations Research Artificial Intelligence Data Science or Physical or Biological Sciences entry is with an Associates degree plus 5 years of relevant experience or a Bachelors degree plus 3 years of relevant experience or a Masters degree plus 1 year of relevant experience or a Doctoral degree and 1 year of relevant experience. Relevant experience must be in one or more of the following: implementing production scale AI/ML solutions distributed model training distributed AI/ML systems AI/ML performance monitoring platform engineering cloud engineering developing deep learning models sustaining/maintaining AI/ML models implementing AI/ML algorithms AI/ML model development and deployment DevOps MLOps cloud infrastructure management software engineering automated testing or containerization.

SENIOR
Entry is with an Associates degree plus 8 years of relevant experience or a Bachelors degree plus 6 years of relevant experience or a Masters degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. Degree must be in Computer Science Engineering Information Systems Information Technology Mathematics Applied Mathematics Statistics Applied Statistics Operations Research Artificial Intelligence Data Science or Physical or Biological Sciences. Relevant experience must be in two or more of the following: implementing production scale AI/ML solutions distributed model training distributed AI/ML systems AI/ML performance monitoring platform engineering cloud engineering developing deep learning models sustaining/maintaining AI/ML models implementing AI/ML algorithms AI/ML model development and deployment DevOps MLOps cloud infrastructure management software engineering automated testing or containerization.

EXPERT
Entry is with an Associates degree plus 11 years of relevant experience or a Bachelors degree plus 9 years of relevant experience or a Masters degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. Degree must be in Computer Science Engineering Information Systems Information Technology Mathematics Applied Mathematics Statistics Applied Statistics Operations Research Artificial Intelligence Data Science or Physical or Biological Sciences. Relevant experience must be in three or more of the following: implementing production scale AI/ML solutions distributed model training distributed AI/ML systems AI/ML performance monitoring platform engineering cloud engineering developing deep learning models sustaining/maintaining AI/ML models implementing AI/ML algorithms AI/ML model development and deployment DevOps MLOps cloud infrastructure management software engineering automated testing or containerization. Additionally you must have experience in serving as an AI Project Team Leader/model owner.

Education

The qualifications listed are the minimum acceptable to be considered for the position.

For all of the Engineering degrees if program is not ABET accredited it must include specified coursework.* *Specified coursework includes courses in differential and integral calculus and 5 of the following 18 areas: (a) statics or dynamics (b) strength of materials/stress-strain relationships (c) fluid mechanics hydraulics (d) thermodynamics (e) electromagnetic fields (f) nature and properties of materials/relating particle and aggregate structure to properties (g) solid state electronics (h) microprocessor applications (i) computer systems (j) signal processing (k) digital design (l) systems and control theory (m) circuits or generalized circuits (n) communication systems (o) power systems (p) computer networks (q) software development (r) Any other comparable area of fundamental engineering science or physics such as optics heat transfer or soil mechanics.

Additional information

Pay: Salary offers are based on candidates education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Salary Range: $87362 - $197200 (Entry/Developmental Full Performance Senior Expert) Salary range varies by location work level and relevant experience to the position.

Training will be provided based on the selectees needs and experience.

Benefits: NSA offers a comprehensive benefits package.

Work Schedule:This is a full-time position Monday - Friday with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).

Candidates should be committed to improving the efficiency of the Federal government passionate about the ideals of our American republic and committed to upholding the rule of law and the United States Constitution.

Required Experience:

IC