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. Note: This position is contingent upon Additional Funding.

Position Description

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.

• 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