Назад
Company hidden
2 дня назад

AI Engineer (GEOINT)

150 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Engineer (GEOINT): Integrating NGA AI capabilities into mission workflows by building APIs, data pipelines, dashboards, geospatial visualizations, and containerized applications with an accent on LLMs, VLMs, generative AI, and enterprise interoperability. Focus on designing agentic AI pipelines, automating analyst workflows, and connecting disparate systems across classified cloud and on-premises environments.

Location: Springfield, Virginia, United States customer site

Salary: $150,000–$250,000 per year

Company

hirify.global delivers technology solutions supporting national security missions and NGA modernization activities aligned with Department of War AI strategy.

What you will do

  • Integrate NGA commercial and government-off-the-shelf AI capabilities into GEOINT mission workflows.
  • Architect automated workflows and build APIs, data interface services, and interoperable enterprise integrations.
  • Design and maintain large-scale data ingestion and egress pipelines, dashboards, processing workflows, and advanced geospatial visualizations.
  • Integrate front-end applications with data stores and upgrade third-party applications for performance, security, and mission alignment.
  • Build, deploy, and sustain scalable containerized architectures across cloud and on-premises environments.
  • Apply LLMs, VLMs, generative AI, prompt engineering, model orchestration, and agentic AI to create natural-language tasking and automated assessment capabilities.

Requirements

  • Active TS/SCI clearance with polygraph and ability to obtain TS/SCI with lifestyle polygraph.
  • At least 7 years of experience developing, integrating, and troubleshooting software solutions in GEOINT environments.
  • Proficiency in multiple programming languages, including Python, Java, and Bash.
  • Experience integrating front-end applications with data stores and designing, implementing, and maintaining data ingestion and egress pipelines.
  • Experience building, deploying, and sustaining containerized, scalable architectures, including Docker and Kubernetes, across cloud and on-premises environments.
  • Hands-on experience applying AI/ML, LLMs, and generative AI to real-world problems, including prompt engineering, model orchestration, and agentic AI pipeline design.
  • Experience integrating disparate systems through existing and newly developed APIs and 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 on classified networks; familiarity with Department of War and Intelligence Community information environments and NGA’s multi-source data ecosystem.
  • Strong interpersonal and communication skills, including translating analyst needs into technical requirements and explaining technical solutions to non-technical audiences.
  • Self-starter mentality and a customer-focused approach to delivering technology in operational environments.

Culture & Benefits

  • People-first culture with continuous learning, mentorship, and career progression opportunities.
  • Innovation, creative problem-solving, and employee-led solution development are encouraged.
  • Collaborative cross-functional environment supporting national security missions.
  • Work-life balance, reasonable hours, flexibility, and support for personal well-being.
  • Benefits are provided; details are available through the company benefits description.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →