Location: REMOTE / Richmond Hill, Ontario
This job allows you to work remotely.
Key Responsibilities
• Serve as a subject matter expert in end-to-end AI/ML and Generative AI solutions design and deployment.
• Focus on scalability, performance, and real-world applicability.
• Lead design and implementation of AI architectures using AWS or GCP.
• Lead and facilitate discovery workshops to translate client goals into actionable AI solution designs.
• Stay current on foundational models, vector search advancements, and GenAI frameworks.
• Promote responsible AI practices including data governance, privacy, transparency, and fairness.
• Facilitate technical discovery workshops with clients to uncover high-value AI opportunities and define clear, actionable delivery roadmaps.
• Collaborate with data engineers and business stakeholders to translate business requirements into technical solutions.
• Provide technical leadership and mentorship to AI Engineers and Data Scientists, fostering knowledge-sharing and continuous improvement within the team.
Must Have Skills:
• 5+ years of hands-on experience designing and delivering AI/ML solutions in cloud environments (AWS or GCP preferred).
Proven expertise with:
• Amazon Bedrock
• Google Vertex AI
• Retrieval-Augmented Generation (RAG) pipelines
• Vector databases (e.g., Pinecone, FAISS, Weaviate)
• AI orchestration frameworks (e.g., LangChain, Haystack, Ray, Airflow, MLflow)
• Familiarity with popular ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with containerized workloads (Docker, Kubernetes), CI/CD pipelines, and system monitoring tools is preferred
• Exposure to data lakes, real-time streaming systems (Kafka, Pub/Sub), and batch ETL pipelines is preferred
• Demonstrated success in delivering AI solutions within client-facing roles in consulting or professional services environments.
• Skilled in leading discovery sessions and effectively communicating AI architectures and technical concepts to diverse stakeholder groups.
• Familiarity with regulatory and compliance frameworks (e.g., HIPAA, GDPR) and experience designing AI solutions within such constraints is an asset.
Mandatory:
Reliability Clearance must be obtainable
