Principal Engineer, AI Authoring
Vertex Pharmaceuticals
4 hours ago
Remote friendly (Boston, MA)
United States
IT
Principal Engineer, AI Authoring
Position Summary:
Lead the design, development, and optimization of an LLM-powered AI authoring/content generation engine for automated, compliant regulatory document workflows using automated document pipelines and Retrieval-Augmented Generation (RAG).
Key Duties & Responsibilities:
- Design and maintain end-to-end technical architecture for AI-assisted document generation (modular LLM integration, prompt engineering, retrieval pipelines).
- Build and optimize RAG systems pulling from clinical and regulatory data sources.
- Develop data connectors and transformations for structured and unstructured data into AI models.
- Create automated testing/validation frameworks to meet Life Sciences safety and compliance standards.
- Prototype new authoring features (e.g., summarization, cross-document consistency checks).
- Escalate and resolve complex technical blockers (e.g., model hallucinations; cloud optimization for high-compute AI workloads).
Qualifications / Skills:
- Experience designing AI platforms using LLMs and RAG.
- Expertise in prompt engineering, retrieval pipelines, modular AI system design.
- Strong data workflow engineering (structured/unstructured integration).
- Testing/validation experience in regulated environments.
- Cloud infrastructure optimization for AI workloads.
- Problem-solving, collaboration, and communication.
- Life Sciences compliance knowledge (preferred); automated document workflows/AI content generation (preferred).
Education & Experience:
- 8+ years software engineering focused on AI/ML or technical platform development.
- Bachelor’s or Master’s in Computer Science/AI/Data Science or related field.
- Hands-on cloud (AWS/Azure/GCP) and distributed computing.
- Production-grade AI/ML deployment in data-intensive environments.
Compensation:
- Pay range: $166,640 - $250,000
Position Summary:
Lead the design, development, and optimization of an LLM-powered AI authoring/content generation engine for automated, compliant regulatory document workflows using automated document pipelines and Retrieval-Augmented Generation (RAG).
Key Duties & Responsibilities:
- Design and maintain end-to-end technical architecture for AI-assisted document generation (modular LLM integration, prompt engineering, retrieval pipelines).
- Build and optimize RAG systems pulling from clinical and regulatory data sources.
- Develop data connectors and transformations for structured and unstructured data into AI models.
- Create automated testing/validation frameworks to meet Life Sciences safety and compliance standards.
- Prototype new authoring features (e.g., summarization, cross-document consistency checks).
- Escalate and resolve complex technical blockers (e.g., model hallucinations; cloud optimization for high-compute AI workloads).
Qualifications / Skills:
- Experience designing AI platforms using LLMs and RAG.
- Expertise in prompt engineering, retrieval pipelines, modular AI system design.
- Strong data workflow engineering (structured/unstructured integration).
- Testing/validation experience in regulated environments.
- Cloud infrastructure optimization for AI workloads.
- Problem-solving, collaboration, and communication.
- Life Sciences compliance knowledge (preferred); automated document workflows/AI content generation (preferred).
Education & Experience:
- 8+ years software engineering focused on AI/ML or technical platform development.
- Bachelor’s or Master’s in Computer Science/AI/Data Science or related field.
- Hands-on cloud (AWS/Azure/GCP) and distributed computing.
- Production-grade AI/ML deployment in data-intensive environments.
Compensation:
- Pay range: $166,640 - $250,000