AI Engineer

AI Engineer

Everforth ECS is seeking an AI Engineer to work in our Fairfax, VA office and Springfield, VA customer site to support the development of the next-generation Artificial Intelligence/Machine Learning (AI/ML) solutions.

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 include:

• Lead end-to-end data science initiatives, encompassing the design, training, and production deployment of AI/ML algorithms in IL5/IL6 environments.
• Utilizing data pipelines in Databricks, Apache Spark, and related ETL technologies (e.g., AWS Glue, Apache Airflow).
• Ensuring compliance with DoD security and accreditation standards, including STIGs and Impact Level controls.
• Providing architectural oversight on data ingestion, curation, and storage to produce reliable, high-quality datasets for AI/ML development.
• Supporting DevSecOps practices, CI/CD pipelines, and automation to streamline delivery.

Salary Range: 190,000-240,000

General Description of Benefits

• 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 (e.g., precision, recall, AUC) and statistical drift detection methods
• Expertise in containerization and orchestration (Docker, Kubernetes, OpenShift) and CI/CD automation (GitHub 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