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AI Engineer

Job in Fairfax, Fairfax County, Virginia, 22032, USA
Listing for: ECS
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Description

AI Engineer – Fairfax, VA office & Springfield, VA customer site. Position contingent upon additional funding.

As an AI Engineer, you will leverage statistical and AI/ML algorithms to deliver advanced analytics, including predictive analysis and modeling, pattern‑of‑life analysis, and remote sensing change detection. You will manage the entire AI/ML development lifecycle from design and training to deployment and maintenance while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, real‑time dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.

Key Responsibilities
  • Lead end‑to‑end data science initiatives, encompassing the design, training, and production deployment of AI/ML algorithms in IL5/IL6 environments.
  • Utilize data pipelines in Databricks, Apache Spark, and related ETL technologies (e.g., AWS Glue, Apache Airflow).
  • Ensure compliance with DoD security and accreditation standards, including STIGs and Impact Level controls.
  • Provide architectural oversight on data ingestion, curation, and storage to produce reliable, high‑quality datasets for AI/ML development.
  • Support Dev Sec Ops  practices, CI/CD pipelines, and automation to streamline delivery.
Required Skills
  • Must be a US Citizen with the ability to obtain a TS/SCI + CI Poly security clearance.
  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
  • 5+ years of experience in software engineering, data engineering, and cloud architecture.
  • Proven ability to conduct advanced data analysis and apply data science methodologies for predictive modeling, pattern‑of‑life analysis, and change detection analysis.
  • Proficiency in Python, C++, and JavaScript.
  • Proficiency in Linux – system administration, scripting in Bash, troubleshooting.
  • Strong expertise in AWS cloud services (compute, storage, networking, IAM).
  • Strong foundation in AI/ML algorithms and ability to implement agentic workflow, and prompt engineering.
  • Experience in large language model (LLM) applications.
  • Strong understanding of model evaluation metrics (precision, recall, AUC) and statistical drift detection methods.
  • Expertise in containerization and orchestration (Docker, Kubernetes, Open Shift) and CI/CD automation (Git Hub Actions, Jenkins).
  • Experience with time‑series databases and relational databases.
  • Proficiency in building and managing ETL pipelines (e.g., AWS Glue, Apache Airflow).
  • Strong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff.
Desired Skills
  • Active TS/SCI security clearance with CI Poly.
  • Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
  • Prior experience supporting DoD, Intelligence Community, or other U.S. Government programs.
  • Understanding security accreditation processes for IL5/IL6 environments.
  • Experience with the following:
    • Computer graphics and computer vision AI/ML
    • Remote sensing (SAR, EO/IR, MSI, etc.)
    • GIS
    • Principal component analysis (PCA)/linear discriminant analysis (LDA)
    • K‑nearest neighbors (KNN)/Clustering techniques
    • Bayesian science/Bayes naive network
    • Reinforcement Learning (RLHF, PPO, DQN, etc.)
    • Variational autoencoders (VAEs)
    • Retrieval‑Augmented Generation (RAG) with Graph DB and Relational DB
    • Optimization algorithms
    • Kalman filtering
    • Network and RF communications
    • Signal processing
    • High performance computing (HPC)
    • Postgre

      SQL, Elastic, Mongo

      DB, Graph DB for supporting data engineering workflows
    • Data governance, metadata management, and compliance frameworks
Equal Opportunity

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

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