AI Tech Lead

We are seeking a highly experienced AI Solutions Architect/Tech Lead with a strong background in Retrieval-Augmented Generation (RAG) architectures, vector database implementations, and advanced AI/ML techniques. This role is ideal for a seasoned technologist with over 15 years of development experience and a deep understanding of the Life Sciences domain, particularly in clinical trials or regulatory submissions.

Responsibilities:

• Design and implement scalable RAG-based AI architectures for enterprise-level applications.


• Lead the deployment and optimization of large-scale vector databases to support semantic search and generative AI use cases.


• Drive the development and fine-tuning of custom Large Language Models (LLMs) tailored to domain-specific needs.


• Collaborate with cross-functional teams to integrate AI solutions into clinical and regulatory workflows.


• Provide technical leadership and mentorship to development teams on AI/ML best practices.


• Ensure compliance with industry regulations and data governance standards in Life Sciences.

Qualifications:

• 15+ years of overall software development experience, with a strong focus on AI/ML in recent years.


• Proven experience with RAG architecture implementations in production environments.


• Hands-on expertise in vector databases such as FAISS, Pinecone, Weaviate, or similar.


• Deep understanding of machine learning, LLM prompt engineering, fine-tuning, and training custom LLMs.


• Strong background in Life Sciences, with direct experience in clinical trials or regulatory submissions.


• Excellent communication and stakeholder management skills.