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Architect, AI/ML
Location
Canada
Posted
82 days ago
Salary
0
Seniority
Lead
Job Description
Architect, AI/ML
3Pillar Global
• 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.
Job Requirements
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience with strong IT services background in machine learning, data science, AI, with a track record of delivering impactful projects; a Ph.D. is highly desirable.
- Strong grasp of AI architecture patterns (RAG, Agent AI, MCP based systems, prompt orchestration).
- Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
- Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning.
- Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines).
- Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).
- Experience in Data Governance, Model Risk Management, and compliance.
- Extensive knowledge of machine learning theory, algorithms, and methodologies.
- Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization.
- Demonstrated ability to think strategically and drive innovation.
Benefits
- 100% 3Pillar funded medical and dental coverage for employees and their dependents
- Unlimited PTO
- Company paid disability and life insurance
- Generous Parental Leave
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