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2 дня назад

Sr Staff AI Engineer (AWS)

148 000 - 190 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Sr Staff AI Engineer (AWS): Designing and delivering scalable, production-ready AI solutions with an accent on LLM-based services, retrieval augmented generation (RAG), and document intelligence. Focus on implementing enterprise AI capabilities via AWS native technologies and optimizing system performance, scalability, and observability.

Location: Remote (United States)

Salary: $148,000 - $190,000

Company

A long-standing financial services organization providing life insurance, annuities, and wealth management to individuals and businesses across the U.S.

What you will do

  • Design and maintain production AI services using AWS Bedrock, SageMaker, Lambda, and OpenSearch.
  • Build RAG pipelines, including embedding strategies, vector search, and prompt orchestration.
  • Engineer LLM-enabled APIs and workflows integrated directly into enterprise applications.
  • Develop solutions for unstructured data extraction, enrichment, and classification.
  • Apply strong software engineering practices including CI/CD, Infrastructure as Code, and runtime observability.
  • Provide technical leadership and mentor engineers on applied AI patterns and responsible AI practices.

Requirements

  • 10+ years of experience in software engineering.
  • 3–5+ years focusing on AI/ML, data-intensive, or intelligent systems.
  • 2–3+ years of hands-on experience delivering AI/ML solutions on AWS.
  • Demonstrated experience with enterprise-scale LLM systems, RAG, and vector search.
  • Proficiency in cloud-native, serverless, and event-driven architectures.
  • Must be based in the United States.

Culture & Benefits

  • Commitment to Equal Employment Opportunity (EEO).
  • Opportunity to work on a Connected Data Strategy in a stable, 175-year-old organization.
  • Collaborative environment working across Architecture, Data, and Product teams.

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