AI Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, architect, and oversee the implementation of enterprise-level AI and ML solutions.

• Collaborate effectively with data scientists, ML engineers, platform engineers, and software development teams.

• Provide hands-on technical leadership in Python, ML, Generative AI, and LLM frameworks.

• Supervise data preparation, feature engineering, vectorization, and model development processes.

• Assess developments in AI, ML, LLMs, and agent-based systems, integrating innovations into strategic roadmaps.

• Enhance performance, latency, scalability, observability, and cost-effectiveness of AI and Generative AI models.

• Conduct technical design reviews, code evaluations, and architecture assessments.

• Identify and resolve complex issues within AI systems.

• Create enterprise capabilities utilizing AI coding assistants, copilots, and developer productivity tools.

• Direct the development of extensions, plugins, and IDE integrations for Visual Studio Code, IntelliJ IDEA, and Eclipse.

• Utilize prompt engineering, LLM context-window optimization, fine-tuning, and agentic workflows.

• Design, train, and assess custom generative models.

• Architect data acquisition, cleaning, text chunking, retrieval-augmented generation, and vector-store ingestion pipelines.

• Integrate enterprise solutions with OpenAI, Azure OpenAI, LangChain, and other AI platforms and APIs.

• Manage the LLM data layer using Azure Cosmos DB, Azure AI Search, vector stores, and embedding indexes.

• Develop agentic automation solutions employing LangChain, LlamaIndex, Semantic Kernel, and AutoGen.

• Implement DevOps practices utilizing CI/CD, GitHub Actions, Azure DevOps, and contemporary testing frameworks.

• Contribute to copilot initiatives across application development, customer support, operations, and productivity automation.

• Design, test, and enhance prompts, prompt templates, and generative AI interaction models.

• Ensure prompt behavior aligns with business outcomes, brand voice, and user experience requirements.

• Enhance prompt accuracy, relevance, safety, and contextual understanding.

• Experiment with chain-of-thought, retrieval-augmented, tool-augmented, and system-message prompting techniques.

• Build and manage an enterprise prompt library with version control and governance.

• Engage in fine-tuning and reinforcement learning through prompt and dataset design.

• Diagnose and improve suboptimal prompts to guarantee predictable and aligned LLM behavior.

⛳️ Requirements

• Must be located in Canada.

• Proven hands-on programming skills in at least one modern programming language such as Python, C#, Java, or JavaScript.

• Extensive expertise with TensorFlow, PyTorch, and Keras.

• Advanced knowledge of Generative AI architectures, including GANs, VAEs, and transformer-based models.

• Practical experience with AI Coding Assistants.

• Proficient in Agentic AI platforms like Microsoft Copilot Agents, AutoGPT, CrewAI, and Anthropic Claude.

• Strong understanding of cloud and MLOps platforms, including AWS SageMaker, Azure Machine Learning, and Google AI Platform.

• Experience in building automated model deployment, monitoring, and retraining pipelines.

• Background in architecting solutions on AWS, Azure, and GCP.

• Capability to mentor and guide junior and mid-level AI/ML engineers.

• Experience conducting AI/ML and Generative AI code reviews.

• Strong analytical and problem-solving abilities.

• Excellent communication skills for engaging with both technical and business stakeholders.

• Experience defining enterprise AI architectures, reference models, reusable design patterns, and architectural standards.

• Ability to establish and implement AI governance frameworks, Responsible AI guidelines, compliance controls, model guardrails, safety protocols, and risk-mitigation practices.

🏝️ Benefits

• Employees have the flexibility to work remotely.