AI Architect

GuruLink; Richmond Hill; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading tech recruiting firm is seeking an experienced AI/ML Solutions Architect who can lead the design and deployment of innovative AI solutions. This role, which allows for remote work, requires expertise in AWS or GCP environments and technical leadership in AI projects. The ideal candidate should have a minimum of 5 years of hands-on experience with AI solutions and a deep understanding of various AI technologies and frameworks.

Qualifications

• 5+ years of experience designing and delivering AI/ML solutions.
• Experience with containerized workloads and CI/CD pipelines.
• Familiar with regulatory frameworks like HIPAA and GDPR.

Responsibilities

• Lead design and implementation of AI architectures.
• Serve as subject matter expert in AI/ML solutions.
• Collaborate with data engineers on technical solutions.

Skills

AI/ML solution design

Cloud environments (AWS or GCP)

Collaborative teamwork

Technical leadership

Discovery session facilitation

Tools

Amazon Bedrock

Google Vertex AI

Docker

Kubernetes

PyTorch

TensorFlow

Job description

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.