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6 часов назад

Senior Manager of AI Engineering (AI)

190 000 - 240 000$
Формат работы
remote (только USA)/hybrid
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

Senior Manager of AI Engineering (AI): Leading the development and execution of the AI roadmap to make mental healthcare more accessible with an accent on scalable LLM interactions, RAG pipelines, and model evaluation. Focus on architecting safe AI systems, building a high-performing AI team from scratch, and ensuring HIPAA compliance in a mission-critical healthcare environment.

Location: Remote across the U.S. or Hybrid in New York City (NYC). Must be authorized to work in the U.S.

Salary: $190,000 – $240,000 + Equity

Company

hirify.global is a national mental health practice using innovative technology to make high-quality psychiatry more accessible and human-centered.

What you will do

  • Define and execute the AI roadmap covering experimentation, model evaluation, and deployment.
  • Architect safe, scalable LLM systems using prompt chaining, memory retention, and RAG pipelines.
  • Develop strategies for model selection (Azure OpenAI, AWS Bedrock, open-source) and cost-effective inference at scale.
  • Build and scale a high-performing AI team across ML, data science, MLOps, and backend infrastructure.
  • Collaborate with legal and clinical teams to ensure HIPAA compliance and safe handling of sensitive patient data.
  • Serve as the primary AI technical authority for external vendors, cloud partners, and executive stakeholders.

Requirements

  • 5+ years of experience in AI/ML, with at least 3 years leading cross-functional teams.
  • Expertise in LLMs (OpenAI, Anthropic, Mistral), including fine-tuning, prompt engineering, and embeddings.
  • Hands-on experience with RAG frameworks, vector databases (Pinecone, FAISS, Redis), and memory architectures.
  • Strong proficiency in Python and the ML stack (PyTorch, HuggingFace, LangChain).
  • Experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and orchestration tools like Airflow.
  • Must be authorized to work in the U.S.

Nice to have

  • Track record of shipping production-grade AI systems in healthcare or other mission-critical domains.
  • Familiarity with ethical AI, including red-teaming, bias mitigation, and explainability.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance effective day 1.
  • 401K with company match.
  • Generous PTO plus paid holidays and paid parental leave.
  • Flexible location options (Remote U.S. or NYC HQ).
  • Strong focus on team well-being and continuous professional growth.

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