AI Engineer

Responsibilities

The AI Engineer will integrate disparate NGA systems by architecting and building automated pipelines, APIs, and AI-enabled applications to close workflow gaps. You will work directly with analytic units to deploy scalable, containerized solutions that enhance mission-ready intelligence operations.

Requirements

Candidates must possess an active TS/SCI with polygraph and at least 7 years of experience in software development within GEOINT environments. Proficiency in Python, Java, Bash, and containerization technologies is required, along with hands-on experience in AI/ML model orchestration.

Skills

• Python
• Java
• Bash
• Docker
• Kubernetes
• Large Language Models
• Visual Language Models
• Agentic AI
• Prompt engineering
• Model orchestration
• API development
• Data pipeline design
• Geospatial data visualization
• Cloud architecture
• Cybersecurity
• GEOINT

Benefits

• Professional development
• Mentorship programs
• Career progression pathways
• Work-life balance support

About this role

Everforth ECS is seeking an AI Engineer – Integrator of Mission-Ready
Intelligence Automation, Supporting National Geospatial-Intelligence Agency
(NGA) to work at our Springfield, VA Customer site.

Everforth ECS is seeking exceptional AI Engineers to serve as AI
Interoperability Integration Engineers (AI3Es) supporting NGA's Analysis
Directorate and Program Executive Offices (PEOs). NGA has the right tools (JEMA,
FADE, MAVEN, Maven Smart System (MSS), PHOEBE, Esri) and a growing portfolio of
analytic capabilities. What it needs are engineers who can connect them. This
role exists to close the integration and automation gaps that keep powerful AI
capabilities from reaching the analysts who need them.

This is not a back-office development role. You'll be an engineer embedded at
the intersection of enterprise technology and live intelligence operations
roughly 80% focused on enterprise integration and 20% engaging w analytic units.
You'll work with requirements personnel to understand requirements and
objectives, map end-to-end workflows, find where manual handoffs create latency,
and then architect and build the pipelines, APIs, and AI-enabled applications
that eliminate them. You'll prototype fast, take feedback, and harden what works
into enterprise-grade capability.

You'll work with Large Language Models (LLMs), Visual Language Models (VLMs),
and agentic AI to deliver capabilities analysts can actually use.

You'll be the engineer who turns disconnected AI capabilities into
analyst-trusted automation.

WHAT YOU'LL ACTUALLY DO

INTEGRATE THE NGA AI STACK INTO MISSION WORKFLOWS

* Support modernization activities in accordance with Department of War (DoW)
AI strategy to systematically close GEOINT workflow gaps
* Architect and implement end-to-end automated workflows across the analytic
capabilities to develop pipelines, linking COTS and GOTS tools into coherent,
mission-specific capabilities.
* Use existing APIs, develop new APIs, and implement data interface services
that enable seamless interoperability between disparate NGA systems
* Design integrations that are modular, scalable, and
maintainable—enterprise-level capability, not another stovepipe

BUILD DATA PIPELINES AND APPLICATIONS

* Design, implement, and maintain robust data ingestion and egress pipelines
that give 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 so they remain performant,
secure, and mission-aligned
* Build, deploy, and sustain containerized, scalable architectures across cloud
and on-premises environments

ENGINEER AI-ENABLED CAPABILITIES

* Apply LLMs, VLMs, and generative AI to accelerate tool development and
enhance analyst workflows through prompt engineering, model orchestration,
and agentic AI pipeline design
* Build natural language tasking interfaces and automated assessment generation
from computer vision detections
* Enable machine-assisted object management population that automatically
creates and enriches observation records from model outputs so analysts
review, refine, and disseminate rather than build from scratch

About Everforth ECS

At Everforth ECS, we don't just deliver technology solutions—we empower the
people behind national security missions. Our culture is built on our core
values (GRIT, EXCELLENCE, DRIVE, and COMMUNITY) which cultivates innovation,
collaboration, and genuine care for both our employees and the critical work
they do. We believe that exceptional outcomes are only possible when talented
individuals work in an environment that values their growth, respects their
expertise, and celebrates their contributions.

Everforth ECS is proud to be a trusted partner in supporting NGA's modernization
activities, aligned with Department of War (DoW) AI guidance and strategy. As an
AI Engineer with Everforth ECS, you'll join a team that combines cutting-edge
technical expertise with deep mission understanding within a culture that
prioritizes work-life balance, professional development, and meaningful impact.

What Makes Everforth ECS Different:

* People-First Culture: We invest in our employees' success through continuous
learning opportunities, mentorship programs, and clear career progression
pathways
* Innovation Encouraged: We celebrate creative problem-solving and empower our
teams to propose and implement bold solutions
* Mission Impact: Work on programs that directly support national security,
where your contributions make a tangible difference
* Collaborative Environment: Cross-functional teams that break down silos and
leverage diverse expertise to solve complex challenges
* Work-Life Balance: We recognize that sustainable excellence requires
reasonable hours, flexibility, and support for personal well-being

Salary Range: 150,000-250,000

General Description of Benefits [https://ecstech.com/careers/benefits]

Qualifications
* 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 and designing, implementing, and maintaining data ingestion and egress
pipelines
* Experience building, deploying, and sustaining containerized, scalable
architectures (e.g., Docker, Kubernetes) across cloud and on-premises
environments
* Hands-on experience applying AI/ML technologies, including LLMs and
generative AI, to real-world problems, with skills in prompt engineering,
model orchestrat...

About ECS Tech Inc

IT Services and IT Consulting · 11-50 employees · headquartered in La Mirada, California