AI Architect

AI Architect

Canada - Remote Role  

Please look for only who are located in Canada.

About the job

We are seeking a visionary and highly experienced AI Architect to lead the design and delivery of nextgeneration intelligent solutions across our enterprise. This role is central to our digital transformation strategy and will focus on architecting robust scalable and secure AI-driven platforms and capabilities.

As an AI Architect you will bring deep expertise in Artificial Intelligence Machine Learning Generative AI Coding Assistants AI Assistants and Agile software engineering practices. You will guide the full AI lifecycle from conceptualization and solution design to model development testing and successful deployment into production environments. The ideal candidate will have a proven architectural background handson experience with modern AI platforms and a strong track record of delivering complex enterprisegrade intelligent systems. You will collaborate closely with cross-functional technology and business teams to shape the future of our AI ecosystem and accelerate innovation across the organization.

Must Have Skills:

• Strong hands-on programming expertise in at least one modern language such as Python C# Java or JavaScript with the ability to guide engineering teams on best practices.
• Deep proficiency with AI/ML frameworks and libraries including TensorFlow PyTorch and Keras with the ability to architect scalable training and inference pipelines.
• Advanced understanding of Generative AI architectures including GANs VAEs transformer-based models and experience applying these techniques to real-world enterprise use cases.
• 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 Google AI Platform including experience building automated model deployment monitoring and retraining pipelines.
• Solid experience architecting solutions on major cloud platforms (AWS Azure GCP) including familiarity with cloud-native AI data and security services.
• Proven ability to mentor guide and provide architectural direction to junior and mid-level AI/ML engineers across multiple projects.
• Ability to conduct AI/ML and Generative AI code reviews ensuring adherence to architectural standards performance benchmarks and responsible AI practices.
• Strong analytical and problemsolving skills including the ability to rapidly diagnose and resolve complex issues in AI systems ML pipelines and application runtimes.
• Excellent communication skills capable of translating complex AI concepts for both technical teams and business stakeholders.
• Experience defining enterprise AI architectures reference models reusable design patterns and establishing organization-wide architectural standards.
• Ability to define and implement AI governance frameworks including Responsible AI guidelines compliance controls model guardrails safety protocols and risk-mitigation practices.

Responsibilities:

AI & Machine Learning Architecture

• Architect design and guide the implementation of enterprise grade AI and ML solutions that solve complex business problems and power intelligent applications.
• Lead collaboration with data scientists ML engineers platform engineers and software teams to integrate AI capabilities into products platforms and enterprise workflows.
• Provide hands-on technical leadership in Python including proficiency with ML GenAI and LLM frameworks (TensorFlow PyTorch HuggingFace LangChain etc.).
• Oversee end-to-end data preparation feature engineering vectorization and model development ensuring data quality and readiness for LLMs and Generative AI workloads.
• Continuously evaluate emerging advancements in AI ML LLMs Agentic Systems and incorporate relevant innovations into architectural roadmaps and solution designs.
• Optimize AI and Generative AI models for performance latency scalability observability and cost efficiency leveraging cloud-native and distributed compute environments.
• Conduct and drive technical design reviews code reviews and architecture assessments to ensure high standards of quality and engineering rigor.
• Diagnose troubleshoot and resolve complex AI system issues to maintain the reliability accuracy and security of production AI applications.

Generative AI Copilots & Coding Assistants

• Design and architect enterprise-wide capabilities leveraging AI coding assistants copilots and developer productivity tools (e.g. GitHub Copilot Azure AI Studio assistants).
• Lead the development of extensions plugins and integrations for IDEs like Visual Studio Code IntelliJ IDEA and Eclipse to embed AI-driven developer workflows.
• Apply deep understanding of prompt engineering LLM behaviour context-window optimization finetuning and agentic workflows to enhance solution performance.
• Design train and evaluate custom generative models exploring architectures such as GANs VAEs diffusion models and transformer-based architectures.
• Architect pipelines for data acquisition cleaning text chunking retrieval augmentation (RAG) and ingestion into vector stores.
• Integrate enterprise solutions with AI platforms and APIs such as OpenAI Azure OpenAI LangChain and other orchestration frameworks.
• Design and maintain the LLM data layer using technologies like Azure Cosmos DB Azure AI Search vector stores and embedding indexes.
• Develop agentic automation solutions using frameworks such as LangChain LlamaIndex Semantic Kernel and AutoGen and integrate them with enterprise systems.
• Apply strong DevOps practices using CI/CD pipelines GitHub Actions Azure DevOps and modern testing frameworks to maintain robust and automated AI development workflows.
• Contribute to or lead copilot initiatives across domains such as application development customer support operations and productivity automation.

Prompt Engineering

• Design test and refine highquality prompts prompt templates and generative AI interaction models tailored to organizational use cases.
• Work closely with product content and data teams to align prompt behaviour with business outcomes brand voice and user experience requirements.
• Continuously improve prompt structures to enhance accuracy relevance safety and contextual understanding within AI/LLM systems.
• Experiment with novel prompting strategieschain-of-thought retrieval-augmented prompts tool-augmented prompts system message optimizationto improve AI performance.
• Build and maintain an enterprise prompt library ensuring versioning governance reuse and integration into automated workflows and applications.
• Participate in fine-tuning and reinforcement learning processes by designing groundtruth prompts evaluation prompts and tuning datasets.
• Diagnose and refine prompts that yield suboptimal or incorrect results ensuring predictable and aligned LLM behaviour across use cases.

Regards

Manoj Goud

Derex Technologies INC

Contact : Ext 206

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time