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Full Time Nato Jobs (NOW HIRING)

Leidos

Combat Systems Test Engineer

Arlington, VA

This role is onsite in Halifax, Nova Scotia, and candidates available to work onsite full time are ... Define test procedures aligned with NATO standards (e.g., STANAGs) and project requirements

Leidos

Combat Systems Test Engineer

Arlington, VA · On-site

This role is onsite in Halifax, Nova Scotia, and candidates available to work onsite full time are ... Define test procedures aligned with NATO standards (e.g., STANAGs) and project requirements

Global Turbine Services

Be Seen First

Chief Operations Officer (COO)

Doral, FL · On-site

$180K/yr

Company Overview We are a leading PART 145 FAA/EASA/CAA/NATO certified aircraft engine Maintenance ... Street, Suite 100, Doral Florida 33172 Employment Type: Full-Time Reports To: President / CEO ...

BOOZ, ALLEN & HAMILTON, INC.

KS · On-site

$61K - $141K/yr

Oversee exercise support, consisting of exercise coordi nato rs, ARCHER analysts, and Simulation ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Full Time Nato information

What is a full time NATO job?

Full Time NATO jobs refer to permanent positions within the North Atlantic Treaty Organization (NATO), an intergovernmental military alliance. These roles are typically based at NATO headquarters or in various NATO commands and agencies across member countries. Employees in Full Time NATO positions work in areas such as defense planning, intelligence, communications, logistics, and administration. These jobs offer competitive salaries, international work environments, and opportunities for career development within a unique multinational context.

What skills and qualifications are needed to work full time at NATO?

To thrive as a NATO Operations Officer, you generally need a background in military or defense studies, operational planning experience, and strong analytical abilities, often supported by an advanced degree and relevant military training. Familiarity with NATO command structures, secure communication systems, and operational planning software is commonly required. Excellent leadership, cross-cultural communication, and adaptability are crucial for working effectively in multinational teams. These skills and qualities are vital for ensuring coordinated, efficient responses to complex security challenges across diverse operational environments.

What is the difference between Full Time Nato vs Full Time Security Officer?

AspectFull Time NatoFull Time Security Officer
Required CredentialsMilitary or defense-related certifications, security clearancesSecurity guard licenses, safety training
Work EnvironmentMilitary bases, defense facilities, government sitesCommercial buildings, retail stores, corporate offices
Employer & IndustryMilitary, government, defense contractorsPrivate security firms, corporations

Full Time Nato roles typically involve military or defense-related work requiring specialized certifications and security clearances, often within government or military environments. In contrast, Full Time Security Officers focus on safeguarding property and people in commercial or private settings, with certifications like security licenses. Both roles demand vigilance but differ significantly in credentials, work environment, and employer type.

What challenges do full time NATO employees face and how can they navigate them?

Working full time at NATO often involves collaborating with colleagues from diverse cultural and professional backgrounds, which can present communication and coordination challenges. New employees may also need to quickly adapt to the organization's fast-paced environment and the complexity of multinational projects. To succeed, it's important to be proactive in seeking feedback, open to learning from others, and committed to continuous professional development. Building strong relationships within your team and across departments can also help you integrate smoothly and contribute effectively.
More about Full Time Nato jobs
What cities are hiring for Full Time Nato jobs? Cities with the most Full Time Nato job openings:
What are the most commonly searched types of Nato jobs? The most popular types of Nato jobs are:
What states have the most Full Time Nato jobs? States with the most job openings for Full Time Nato jobs include:
What job categories do people searching Full Time Nato jobs look for? The top searched job categories for Full Time Nato jobs are:
Full Time Nato jobs near you
Infographic showing various Full Time Nato job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution.

Data Scientist / AI Engineer

Ironclad Defense Works, Inc.

Norfolk, VA • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 7 days ago

Job description

Data Scientist / AI Engineer
Location: Norfolk, Virginia
Employment Type: Full-time, On-site
Security Clearance: Active NATO or U.S. National SECRET clearance required
Citizenship: Must be a citizen of a NATO member nation
The Role
Ironclad is seeking an experienced Data Scientist / AI Engineer to support the development and implementation of advanced data science, artificial intelligence, and large language model capabilities within the NATO enterprise.
This position requires a technically versatile professional who can bridge data engineering, software development, machine learning, and operational mission requirements. The selected candidate will design scalable data architectures, build and optimize data pipelines, develop API-based infrastructure, and support the secure deployment of AI and machine learning solutions in cloud-based and hybrid environments.
The role requires strong hands-on experience with generative AI, large language models (LLMs), distributed systems, microservices, containerized applications, and modern software engineering practices. The successful candidate must also be able to translate complex operational challenges into practical technical solutions for military and civilian stakeholders.
Key Responsibilities
  • Develop and implement scalable data science and AI capabilities supporting NATO initiatives.
  • Design, build, and maintain data pipelines for structured and unstructured data.
  • Prepare, cleanse, transform, and optimize data for LLM training, fine-tuning, inference, and analytics.
  • Develop API-based infrastructure that integrates LLMs and machine learning models with operational systems.
  • Design and support microservices and containerized AI/ML applications.
  • Build distributed data storage and processing solutions using cloud-based or hybrid architectures.
  • Develop real-time data processing and streaming capabilities for operational decision support.
  • Automate data engineering processes and improve the scalability, efficiency, and reliability of AI infrastructure.
  • Implement monitoring, logging, traceability, and performance-optimization tools for data pipelines and APIs.
  • Support the secure deployment of AI and LLM solutions in Microsoft Azure, AWS, or comparable environments.
  • Develop tools that improve data accessibility for data scientists, analysts, engineers, and operational users.
  • Collaborate with data scientists, software engineers, system architects, and other technical stakeholders.
  • Support federated learning, cross-domain data sharing, and secure collaboration across NATO nations.
  • Develop proofs of concept for LLM-based and advanced analytics applications.
  • Evaluate operational requirements and recommend appropriate AI, software, and data-engineering solutions.
  • Create dashboards, reports, and visual analytics for senior and non-technical stakeholders.
  • Provide technical briefings, mentoring, and training in AI engineering, data science, API development, and digital literacy.
  • Research emerging developments in generative AI, distributed computing, data architecture, and software engineering.
  • Promote responsible, secure, and ethical AI practices throughout solution development and deployment.
Required Qualifications
  • Bachelor's degree or higher from a nationally recognized university in data science, data analytics, artificial intelligence, mathematics, physics, computer science, software engineering, or a closely related discipline.
  • At least four years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, Software Engineer, or in a closely related role.
  • Demonstrated experience developing operational AI or machine learning solutions.
  • Experience with distributed systems and cloud-based or hybrid architectures.
  • Experience designing API-based infrastructure and microservices architectures.
  • Hands-on experience developing and deploying containerized applications using technologies such as Docker or Kubernetes.
  • Demonstrated experience with generative AI and large language models.
  • Experience preprocessing data and supporting the fine-tuning and deployment of LLMs in secure, scalable environments.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or comparable technologies.
  • Strong programming experience with Python, Java, Scala, or similar languages.
  • Experience with version control, CI/CD pipelines, automated testing, and modern software engineering practices.
  • Experience building and optimizing ETL processes, data pipelines, and real-time streaming solutions.
  • Familiarity with Apache Airflow, Kafka, Spark, or comparable data-engineering technologies.
  • Experience architecting or maintaining data lakes, data warehouses, distributed storage systems, or NoSQL solutions.
  • Knowledge of platforms such as Delta Lake, Snowflake, Hadoop, or comparable technologies.
  • Experience applying AI to operational decision support and the analysis of unstructured data, including text or imagery.
  • Strong understanding of data security, privacy, sovereignty, and responsible AI practices.
  • Experience developing dashboards, visual reports, and analytics using Tableau, Microsoft Power BI, Kibana, or comparable tools.
  • Ability to translate operational problems into practical AI and machine learning solutions.
  • Demonstrated success working with multidisciplinary technical teams.
  • Strong written and verbal communication skills.
  • Ability to explain technical concepts to non-technical stakeholders and senior leaders.
  • Ability to mentor or train personnel in AI engineering, data science, or software development concepts.
Preferred Qualifications
  • Familiarity with NATO processes, organizational structures, operational culture, and decision-making procedures.
  • Experience supporting military, defense, government, or international organizations.
  • Experience developing AI or data-engineering solutions using open-source frameworks and publicly available datasets.
  • Familiarity with military staff workflows and operational planning processes.
  • Experience with federated learning and privacy-preserving collaboration across multiple organizations or nations.
  • Experience supporting cross-domain data sharing and API-driven interoperability.
  • Familiarity with agile project-management methods and tools such as JIRA, Trello, or Microsoft Loop.
  • Experience briefing senior leaders and presenting actionable, data-driven recommendations.
  • Knowledge of ethical AI principles, including bias mitigation, responsible data handling, transparency, and secure deployment.
Why Join Ironclad
Ironclad supports complex defense and international missions by providing experienced professionals who combine technical expertise with an understanding of operational requirements. This position offers the opportunity to contribute directly to secure, scalable, and mission-focused AI capabilities while working alongside military, civilian, and technical stakeholders across the NATO enterprise.
Clearance
This position requires an active NATO or National SECRET (or higher) security clearance. Applicants who do not possess the clearance specified above cannot be considered at this time.
Compensation
Compensation for this position ranges from $115,000 - $130,000 annually. Final salary will be based on factors such as experience, education, skills, qualifications, contract requirements, and overall affordability.
Eligible full-time employees may also receive a comprehensive benefits package, including medical and dental insurance, retirement benefits, paid leave, and professional development opportunities.
How to Apply
Email your resume to [email protected] with the subject line: Data Scientist / AI Engineer
- (Your Name) Application" or respond to this job posting via the included web application.
Ironclad Defense Works is an Equal Opportunity Employer.

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