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Open nowFirst seen 2 hours ago

AI Engineer

ECS FEDERAL LLC272 open roles

Where
Springfield, VA, USA
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Your applicationOpen nowAI EngineerECS FEDERAL LLC · Springfield, VA, USA

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. ECS FEDERAL LLC postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 2 hours ago

ECS FEDERAL LLC median: 7 days open

The posting

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

  • 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 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, with the ability to translate analyst needs into technical requirements and explain technical solutions to non-technical audiences
  • Self-starter mentality with customer-focused approach to delivering technology in operational environments
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