AI Engineer
Backend Developer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Platform
Ai Security
Application Security
Artificial Intelligence
Artificial Intelligence Engineer
Automation
Big Data
Cloud
Cloud Infrastructure
Cloud Native
Cloud Native Technologies
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Processing
DevOps
Devops Tools
DevSecOps
Engineering
Engineering Software
Facilities Management
Generative AI
Generative Ai Engineering
Information Technology (IT)
Infrastructure
Infrastructure As Code
Kubernetes
Large Language Models
Machine Learning
Platform Engineering
Programming
Programming Language
Security Automation
Security Devops
Software Development
Software Engineering
Job Description
Everforth ECS is hiring an AI Engineer (AI Interoperability Integration Engineer) to integrate mission-ready AI automation capabilities into NGA mission workflows at the Springfield, VA (onsite) site.
Responsibilities
- Support modernization work aligned with the Department of War (DoW) AI strategy to close GEOINT workflow gaps
- Architect and implement end-to-end automated workflows across analytic capabilities, building pipelines and connecting COTS and GOTS tools into coherent, mission-specific capabilities
- Use existing APIs, develop new APIs, and implement data interface services to enable interoperability between disparate NGA systems
- Design modular, scalable, maintainable integrations to deliver enterprise capability instead of stovepipes
- Design, implement, and maintain data ingestion and egress pipelines that provide analysts access to underexploited multi-int data sources at BIG DATA scale
- Develop operational dashboards, data processing pipelines, and advanced geospatial data visualizations
- Integrate front-end applications with underlying data stores, and upgrade, enhance, and integrate third-party applications to keep them performant, secure, and mission-aligned
- Build, deploy, and sustain containerized, scalable architectures across cloud and on-premises environments
- Apply LLMs, VLMs, and generative/agentic AI using prompt engineering, model orchestration, and agentic AI pipeline design to accelerate tool development and analyst workflows
- Build natural language tasking interfaces and automated assessment generation from computer vision detections
- Enable machine-assisted object management by automatically creating and enriching observation records from model outputs, so analysts can review, refine, and disseminate instead of building from scratch
- Partner with requirements personnel to understand requirements and objectives, map end-to-end workflows, identify manual handoffs that add latency, and architect pipelines/APIs/AI-enabled applications to remove them
- Prototype quickly, take feedback, and harden successful prototypes into enterprise-grade capabilities
- Work with Large Language Models, Visual Language Models, and agentic AI to deliver capabilities analysts can actually use
Requirements
- Active TS/SCI with polygraph, and ability to obtain TS/SCI with lifestyle polygraph
- Minimum 7 years of demonstrated experience developing, integrating, and troubleshooting software solutions within GEOINT environments
- Proficiency in multiple programming languages, including Python, Java, and Bash
- Proven experience integrating front-end applications with underlying data stores, plus designing, implementing, and maintaining data ingestion and egress pipelines
- Experience building, deploying, and sustaining containerized, scalable architectures using tools such as Docker and Kubernetes across cloud and on-premises
- Hands-on experience applying AI/ML technologies, including LLMs and generative AI, to real-world problems with skills in prompt engineering, model orchestration, and agentic AI pipeline design
- Demonstrated ability to integrate disparate systems using existing APIs, developing new APIs, and implementing data interface services
- Experience designing and deploying operational dashboards, data processing pipelines, and data visualizations
- Working knowledge of cybersecurity requirements and accreditation processes for applications deployed on classified networks
- Fluency with DoW and IC information environments and the multi-source data ecosystem NGA depends on
- Excellent interpersonal and communication skills, including translating analyst needs into technical requirements and explaining solutions to non-technical audiences
- Self-starter mindset with a customer-focused approach to delivering technology in operational environments
Salary
- USD 150,000 - 250,000 per year
Benefits
- Everforth ECS benefits
Technologies
- Python
- Java
- Bash
- Docker
- Kubernetes
- LLMs
- VLMs
- Generative AI
- Prompt engineering
- Model orchestration
- Agentic AI
NGA AI Stack / Tools
- JEMA
- FADE
- MAVEN
- Maven Smart System (MSS)
- PHOEBE
- Esri