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Director, Applied AI Solutions (AI)

14 750 - 21 667$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
c1
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

Director, Applied AI Solutions (AI): Defining and leading the North America Commercial AI strategy and roadmap to drive business performance and customer engagement with an accent on LLM, agentic AI, and RAG. Focus on translating commercial business problems into scalable AI-enabled capabilities and productionizing models in a compliant biopharma environment.

Location: Must be based in Cambridge, US

Salary: $177,000 - $260,000

Company

hirify.global is a mid-sized global biopharmaceutical company focusing on transformative medicines in Oncology, Rare Disease, and Neuroscience.

What you will do

  • Design and build AI-powered workflows, agents, and applications for patient finding, HCP targeting, and field insights.
  • Translate complex commercial business problems into technical solution designs and executable delivery plans.
  • Build and test LLM, agentic AI, and retrieval-augmented generation (RAG) solutions using approved data environments.
  • Partner with Data Science and IT teams to productionize, deploy, and support scalable, compliant AI solutions.
  • Conduct structured evaluations and pilots of AI tools, including Snowflake Cortex and Salesforce Agentforce.
  • Establish evaluation frameworks for accuracy, grounding, hallucination risk, and business KPIs.

Requirements

  • 10+ years of experience in software, machine learning, or applied AI solution development.
  • 2+ years of hands-on experience building and deploying production LLM/GenAI applications (Agentic workflows, RAG).
  • Advanced proficiency in Python and SQL, including experience with APIs and integration patterns.
  • Experience with frameworks such as LangGraph or LlamaIndex, or foundation-model APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI).
  • Proficiency with Git-based workflows, containerization, and CI/CD practices.
  • Education: BA/BS in Computer Science, Engineering, Data Science, or a related quantitative field.

Nice to have

  • Experience in NA Commercial pharma/biotech with use cases like patient identification or HCP targeting.
  • Familiarity with healthcare data (IQVIA, Komodo, EHR) and coding systems (ICD, CPT, NDC).
  • Advanced degree (MS/PhD) in a relevant field or cloud/ML certifications.

Culture & Benefits

  • Comprehensive employee benefits package including 401(k) with company contributions.
  • Group medical, dental, and vision coverage.
  • Paid time off, parental leave, and a discretionary winter shutdown.
  • Well-being allowance and commuter benefits.
  • A human-centric leadership culture that champions collaboration and excellence.

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