Lead AI Authoring Platform Engineer (Hybrid)

Vertex Pharmaceuticals

Boston (MA)

Hybrid

USD 166,640 - 250,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
On-site option

Job summary

Vertex Pharmaceuticals seeks a Principal Engineer, AI Authoring in Boston, hybrid/onsite. Lead the architecture for AI-driven content generation, focusing on modular LLM integration, prompt engineering, and retrieval pipelines to support compliant regulatory documents. Drive RAG-based systems and scalable cloud workloads.

You will prototype AI features, ensure rigorous testing and validation, and collaborate with a cross-functional team to deliver high-quality, regulated outputs.

Qualifications

  • Experience building AI-driven platforms with LLMs and RAG architectures.
  • Expertise in prompt engineering and retrieval pipelines.
  • Strong background in structured and unstructured data integration.
  • Experience with automated testing/validation in regulated environments.

Responsibilities

  • Design end-to-end architecture for AI-assisted document generation with modular LLM integration.
  • Build and optimize Retrieval-Augmented Generation systems pulling from clinical/regulatory data sources.
  • Engineer data connectors/transformations for feeding data into AI models.
  • Develop automated testing/validation to meet compliance standards in Life Sciences.
  • Prototype new AI features to assess viability before full-scale dev.

Skills

AI platform design
LLM integration
RAG architectures
Prompt engineering
Data workflows
Automated testing
Cloud optimization
Cross-functional collaboration

Education

Bachelor’s or Master’s in CS/AI/Data Science

Job description

Vertex Pharmaceuticals seeks a Principal Engineer, AI Authoring in Boston, hybrid/onsite. Lead the architecture for AI-driven content generation, focusing on modular LLM integration, prompt engineering, and retrieval pipelines to support compliant regulatory documents. Drive RAG-based systems and scalable cloud workloads.

You will prototype AI features, ensure rigorous testing and validation, and collaborate with a cross-functional team to deliver high-quality, regulated outputs.

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