Назад
8 дней назад

AI Engineer – Forward Deployed Engineering (U.S. Public Sector)

182 000 - 250 208$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer – Forward Deployed Engineering (U.S. Public Sector) (GenAI/ML): Developing and productionizing customer-facing generative AI applications for federal-sector use with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and cloud deployment. Focus on evaluating and optimizing production-grade AI systems, advising customers, and shaping product priorities through cross-functional collaboration.

Location: Maryland, Virginia, or the Washington, D.C. metropolitan area; remote work is available with periodic on-site work and customer visits

Salary: $182,000–$250,208 USD annually

Company

Databricks provides a unified data and AI platform used by organizations worldwide to build and scale data, analytics, and AI applications.

What you will do

  • Develop generative AI solutions using current AI research techniques to solve customer problems.
  • Own production rollouts of customer-facing and internal generative AI applications.
  • Advise customers as a trusted technical expert across multiple domains.
  • Present technical work at conferences and contribute to internal and external thought leadership.
  • Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • U.S. citizenship and eligibility for a U.S. government Secret clearance are required.
  • Experience building generative AI applications involving RAG, multi-agent systems, Text2SQL, or fine-tuning.
  • Experience with tools such as HuggingFace, LangChain, and DSPy, plus pandas, scikit-learn, and PyTorch.
  • Experience deploying production-grade machine learning applications on AWS, Azure, or GCP.
  • A graduate degree in a quantitative discipline or equivalent practical experience.
  • Ability to communicate or teach technical concepts to technical and non-technical audiences; willingness to travel to customers every 4–8 weeks as needed.

Nice to have

  • Experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed data processing.
  • Active Secret or higher security clearance.

Culture & Benefits

  • Customer-facing work across federal-sector AI engagements.
  • Cross-functional collaboration with engineering, product, developer relations, and subject matter experts.
  • Opportunities to work with current generative AI, LLMOps, and machine learning techniques.
  • Annual performance bonus, equity eligibility, and employee benefits may be included in the total compensation package.
  • Commitment to inclusive hiring and equal employment opportunity.

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