Back to search
3Pillar Global Himalayas · Posted 1mo ago

Architect / Principal, AI ML Engineer

Canada USD Full time Remote

Senior Principal AI ML Engineer AI ML Technical Architect Principal AI Architect
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

3Pillar is seeking an experienced AI/ML Architect to lead the technical direction and blueprint for scalable AI solutions across multiple domains. The ideal candidate will have a strong grasp of AI architecture patterns and hands-on experience with Gen AI APIs, prompt engineering, and embeddings.

Requirements

  • Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps.
  • Serve as a strategic advisor / consultant to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value.
  • Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI).
  • Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama.
  • Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar).
  • Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining.
  • Evaluate build-vs-buy decisions and benchmark AI tools/platforms.
  • Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space and recommend adoption strategies.
  • Mentor technical teams and guide solution architects, AI/ML engineers.
  • Ensure ethical and responsible AI practices including bias detection, interpretability, and governance.
  • Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization.
  • Collaborate with leadership to align machine learning strategies with overall business objectives.
  • Represent the organization at industry conferences, workshops, and events.
  • Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges.

Benefits

  • Flexible work environment (remote, office, or hybrid)
  • Generous time off
  • Mental health plans (country-dependent)
  • Fitness offerings
  • Career growth and development opportunities
  • Professional services model
  • Equal opportunity employer
  • Diversity and inclusion commitment

Originally posted on Himalayas

Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If CV tailoring and application tracking get heavy, Full Caio Agent adds a human specialist.
View Full Agent