AI Engineering Director

1 week ago


Canada Quantiphi Full time
Lead AI/ML Initiatives at Quantiphi

We are seeking an experienced AI Engineering Director to drive key AI and ML projects leveraging AWS Bedrock, Amazon Q, and Quicksight to support internal departments, including actuarial and finance teams.

About the Role:

  • Design and develop scalable ML architectures that integrate LLMs (Large Language Models) with AWS Kendra for advanced document retrieval, and implement RAG (Retrieval-Augmented Generation) for handling complex files.
  • Build and mentor a high-performing AI/ML team, focusing on internal capability building while backfilling key roles as necessary.
  • Deploy chatbots like "Sun Life Asks" for internal document queries, ensuring sophisticated handling of complex files.
  • Develop AI-powered dashboards using Amazon Q and Quicksight to provide insights for actuarial and finance teams, enhancing data-driven decision-making.
  • Partner with cross-functional teams to design AI/ML solutions tailored to business needs, including actuarial and finance departments.

Requirements:

  • Eligibility for Reliability Security Clearance
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related technical field
  • Minimum of 5+ years of experience in Machine Learning, AI, or related fields
  • Proven expertise in AWS AI/ML tools: Bedrock, Amazon Q, Quicksight, Kendra
  • Experience with LLM integration, including hands-on experience with RAG for document retrieval
  • Experience with Natural Language Processing (NLP) and chatbot development
  • Strong background in developing ML architectures that scale to meet business needs
  • Advanced proficiency in Python, SQL, and AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face
  • In-depth knowledge of AWS services like SageMaker, Lambda, and Redshift
  • Familiarity with DevOps for AI/ML models, including monitoring and scaling ML models in production environments

What We Offer:

  • An estimated salary range of $160,000 - $200,000 per year
  • A competitive benefits package
  • Ongoing training and professional development opportunities


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