AI Architect

Job not on LinkedIn

🔥 17 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Derex Technologies Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1996

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Derex Technologies Inc. is a global IT services company headquartered in New Jersey, operating since 1996. The company offers a wide range of services including application development, enterprise resource planning (ERP), SAP services, and enterprise content management solutions. Derex specializes in transitioning IT infrastructure from managed services to shared services, data center transformation, and enterprise IT application support. They also provide staff augmentation services. With a strong presence in North America, Canada, Singapore, and India, Derex leverages its extensive industry expertise to help organizations meet their business objectives and solve real-world challenges.

📋 Description

• Architect, design, and guide implementation of enterprise-grade AI and ML solutions • Collaborate with data scientists, ML engineers, platform engineers, and software teams • Provide hands-on technical leadership in Python and ML, GenAI, and LLM frameworks • Oversee data preparation, feature engineering, vectorization, and model development • Evaluate emerging AI, ML, LLM, and agentic-system advancements and incorporate relevant innovations into roadmaps • Optimize AI and Generative AI models for performance, latency, scalability, observability, and cost efficiency • Conduct technical design reviews, code reviews, and architecture assessments • Diagnose and resolve complex AI system issues • Design enterprise capabilities using AI coding assistants, copilots, and developer productivity tools • Lead extensions, plugins, and IDE integrations for Visual Studio Code, IntelliJ IDEA, and Eclipse • Apply prompt engineering, LLM behavior, context-window optimization, fine-tuning, and agentic workflows • Design, train, and evaluate custom generative models • Architect data acquisition, cleaning, text chunking, RAG, and vector-store ingestion pipelines • Integrate enterprise solutions with OpenAI, Azure OpenAI, LangChain, and other orchestration frameworks • Design and maintain the LLM data layer using Azure Cosmos DB, Azure AI Search, vector stores, and embedding indexes • Develop agentic automation using LangChain, LlamaIndex, Semantic Kernel, and AutoGen • Apply DevOps practices using CI/CD, GitHub Actions, Azure DevOps, and modern testing frameworks • Lead copilot initiatives across application development, customer support, operations, and productivity automation • Design, test, and refine prompts, prompt templates, and generative AI interaction models • Align prompt behavior with business outcomes, brand voice, and user experience requirements • Build and maintain an enterprise prompt library with versioning, governance, reuse, and workflow integration • Participate in fine-tuning and reinforcement learning processes • Diagnose and refine suboptimal prompts to ensure predictable and aligned LLM behavior

🎯 Requirements

• Strong hands-on programming expertise in at least one modern language such as Python, C#, Java, or JavaScript • Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras • Advanced understanding of Generative AI architectures, including GANs, VAEs, and transformer-based models • Practical experience using AI Coding Assistants • Hands-on expertise with Agentic AI platforms, including Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude, and other autonomous workflow systems • Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, and Google AI Platform • Experience building automated model deployment, monitoring, and retraining pipelines • Solid experience architecting solutions on AWS, Azure, and GCP • Proven ability to mentor and guide junior and mid-level AI/ML engineers • Ability to conduct AI/ML and Generative AI code reviews • Strong analytical and problem-solving skills • Excellent communication skills for technical and business stakeholders • Experience defining enterprise AI architectures, reference models, reusable design patterns, and architectural standards • Ability to define and implement AI governance frameworks, Responsible AI guidelines, compliance controls, model guardrails, safety protocols, and risk-mitigation practices

🏖️ Benefits

• Employees can work remotely

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume