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Artificial Intelligence Subject Matter Expert (SME)
Оценка ИИВакансия предлагает работу над критически важными задачами национальной безопасности с использованием самых современных технологий (GenAI, LLM). Высокий балл обусловлен престижностью роли SME и стабильностью работы в оборонном секторе, несмотря на строгие требования к безопасности.
Сложность вакансии
Оценка ИИВысокая сложность обусловлена требованием действующего допуска Top Secret и глубокой экспертизы в узких областях: Generative AI, LLM и кибербезопасность (SOC). Роль эксперта (SME) подразумевает не только разработку, но и стратегическое планирование защиты от ИИ-угроз.
Анализ зарплаты
Оценка ИИПредлагаемая роль SME в области ИИ с допуском Top Secret в регионе Рестон/Вашингтон обычно оплачивается значительно выше среднего по рынку из-за дефицита специалистов с таким сочетанием навыков. Рыночные оценки для Senior/SME уровней в оборонном секторе США начинаются от $170,000 и могут достигать $230,000+ в зависимости от бонусов.
Сопроводительное письмо
I am writing to express my strong interest in the Artificial Intelligence Subject Matter Expert position at Agile Defense. With over five years of experience in Machine Learning and a specialized focus on Generative AI and LLMs, I have a proven track record of transitioning complex AI solutions from proof-of-concept to production-grade operational environments. My background in developing MLOps pipelines and working with cloud platforms like AWS Bedrock and Azure AI aligns perfectly with your mission to enhance SOC capabilities through adaptive innovation.
Throughout my career, I have focused on the intersection of cybersecurity and artificial intelligence, specifically in assessing cyber risks and implementing automated threat detection. I am particularly drawn to Agile Defense's "6Hs" culture and the opportunity to apply my expertise in prompt engineering and vector databases to strengthen national security. Holding a Top Secret clearance, I am prepared to hit the ground running and contribute to your team's vital work in Reston.
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Описание вакансии
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.
Requisition #: 1504
Job Title: Artificial Intelligence Subject Matter Expert (SME)
Job Title for Careers Page: Artificial Intelligence Subject Matter Expert (SME)
Location: Reston, VA
Clearance Level: Top Secret
SUMMARY:
The AI SME serves as the organization’s lead expert in applying Artificial Intelligence within the Security Operations Center (SOC), transforming emerging AI technologies into operational capabilities that enhance threat detection, response, and overall cyber defense.
JOB DUTIES AND RESPONSIBILITIES
Deliver support services related to testing, reporting, and assessing a range of AI applications.
Conduct operational testing and evaluation of AI to determine capability gaps and uncover vulnerabilities in deployed AI solutions.
Review current cyber defense posture, identify vulnerabilities to AI‑driven threats and assist in developing and implementing protective measures.
Provide SOPs, testing plans, and methodologies used, as well as reports outlining findings and actionable recommendations for remediation. This reporting shall include SOP development, identification of the methods employed, and findings accompanied by actionable corrective measures.
QUALIFICATIONS:
Education, Background, and Years of Experience:
Bachelor’s of Science, Mathematics, or equivalent experience
ADDITIONAL SKILLS & QUALIFICATIONS Required Skills:
Top Secret Clearance
5+ years in ML, Data Science, or AI engineering; 2+ years focused on Generative AI and LLMs
Deep expertise in machine learning, deep learning, and statistical modeling
Hands-on experience with LLM frameworks, vector databases, and prompt engineering
Advanced Python proficiency; production-grade software development experience
MLOps and cloud AI platform experience (Azure AI, AWS Bedrock, Google Vertex AI)
Proven track record taking AI solutions from PoC to production
Experience in assessing cyber risk and functionality of AI solutions
Experience in incorporating automation and artificial intelligence into cyber prpgrams
Experience with data analytic software such as Splunk, Cribl, Elastic and Sentinel
Preferred Skills:
Open-source contributions or published AI research
Experience with edge/low-latency model optimization
Certifications in AI Ethics, Responsible AI, or Cloud AI Architecture
Familiarity with adversarial AI testing and red-teaming
WORKING CONDITIONS Environmental Conditions:
Hybrid schedule in Reston, VA
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.
Happy- Be Infectious.
Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive.
Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy.
Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded.
Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry- Be Eager.
Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven.
Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Навыки
- Machine Learning
- Data Science
- Generative AI
- Large Language Models
- Python
- MLOps
- Azure AI
- AWS Bedrock
- Google Vertex AI
- Splunk
- ElasticSearch
- Vector Databases
- Prompt Engineering
- Cybersecurity
Возможные вопросы на собеседовании
Проверка практического опыта внедрения LLM в специфические домены.
Расскажите о вашем опыте развертывания LLM в продакшн: какие фреймворки и векторные базы данных вы использовали для оптимизации поиска (RAG)?
Важно для работы в SOC (Security Operations Center).
Как бы вы спроектировали систему мониторинга для обнаружения аномалий в сетевом трафике с использованием генеративного ИИ?
Оценка навыков обеспечения безопасности самих ИИ-моделей.
Какие методы защиты от атак типа 'prompt injection' и состязательных атак (adversarial attacks) вы считаете наиболее эффективными для государственных систем?
Проверка навыков MLOps в облачных средах.
Опишите ваш опыт работы с AWS Bedrock или Azure AI: как вы обеспечиваете масштабируемость и низкую задержку (latency) при обслуживании моделей?
Оценка способности оценивать риски новых технологий.
Как вы проводите оценку уязвимостей сторонних ИИ-решений перед их интеграцией в закрытый контур организации?
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