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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$157к-247к/год
$210к$230кмедиана$260к
По похожим ролям (50) ~ $230к/год
90
Отличная вакансия
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Чёткая ответственность за внедрение AI в крупной фармацевтической компании даёт серьёзный масштаб и карьерную ценность, хотя роль совмещает разработку с широкими лидерскими и управленческими задачами.
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Широкая зона ответственностиСовременный AI-стекКрупная фармкомпания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Director AI Activation (Generative AI/LLMs): Designing and delivering enterprise AI solutions for pharmaceutical commercial challenges with an accent on generative AI, agentic systems, scalable architectures, and responsible AI governance. Focus on building RAG and multi-agent applications, moving prototypes into production, establishing MLOps/LLMOps practices, and translating business needs into measurable AI value.
Location: Rahway, New Jersey, United States; hybrid work arrangement
Base salary: $156,900–$247,000 per year, plus possible annual bonus and long-term incentive
Company
hirify.global is a pharmaceutical company developing commercial solutions across Specialty, Pharma, and Infectious Diseases business units.
What you will do
Own the technical design and end-to-end delivery of strategic AI initiatives from ideation and prototyping through deployment and adoption.
Design and build generative AI and agentic solutions, including LLM applications, RAG, multi-agent workflows, tool and API integrations, and simulation or scenario-planning capabilities.
Define scalable architectures, reusable components, delivery guardrails, and evaluation approaches covering accuracy, groundedness, reliability, latency, cost, and safety.
Lead MLOps and LLMOps practices, including versioning, CI/CD, monitoring, and model lifecycle management.
Run AI pilots for field and customer engagement, targeting support, forecast validation, barrier analysis, and causal inference, partnering with brand, Market Engagement, commercial analytics, IT, vendors, and delivery partners.
Champion responsible AI, data privacy, security, model validation, enterprise governance, technical capability building, and mentoring.
Requirements
5+ years of experience in AI/ML engineering, applied data science, or a related technical field, including at least 2 years of hands-on experience building generative AI or LLM-based solutions.
Prior pharmaceutical or healthcare industry experience.
Deep expertise in LLMs and generative AI, including RAG, embeddings, vector databases, agent frameworks such as LangChain, LangGraph, or Semantic Kernel, prompt engineering, and fine-tuning.
Experience taking AI solutions from prototype to enterprise-scale production, including solution architecture, APIs, cloud AI services such as Google Cloud Vertex AI or Amazon Bedrock, and MLOps/LLMOps.
Experience designing AI evaluation frameworks and guardrails based on responsible AI principles and governance.
Advanced Python and SQL skills; experience with Databricks or similar platforms; strong software engineering practices including Git, testing, and CI/CD; and a solid foundation in machine learning and statistics.
Ability to explain complex AI concepts in plain business language and apply a product mindset focused on user needs, adoption, and measurable business value.
Experience aligning brand, Market Engagement, IT, and cross-functional stakeholders, managing scope, and maintaining strong relationships.
People or matrix leadership experience, including cross-functional teams, global collaborators, and external delivery partners or vendors.
Strong organizational and project management skills, with resilience and adaptability in ambiguity and a fast-moving AI landscape.
Master's degree or PhD in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline.
Culture & Benefits
Hybrid work arrangement.
Medical, dental, vision, and other insurance benefits for employees and families.
Retirement benefits including a 401(k).
Paid holidays, vacation, compassionate leave, and sick days.
Inclusive environment focused on bringing together diverse experiences, perspectives, skills, and backgrounds.
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