New Value Solutions, a national IT consulting company, is seeking an AI Solution Architect to define the architecture and set the technical direction for AI-Native projects. This is a senior, architecture-led role that remains hands-on and credible at the code level, providing technical leadership to the cross-functional engineering team that designs, builds, and deploys production-grade application rewrites using AI-native tools and techniques on the Azure platform.

Responsibilities:

- Lead the end-to-end architecture for AI-native applications and modernization initiatives, defining solution architecture, integration patterns, and AI platform strategy.
- Design and establish an enterprise AI-Native Software Development Lifecycle (SDLC), including architecture standards, governance, reusable templates, and engineering best practices.
- Produce architecture documentation, reference architectures, technical standards, and implementation guidance for engineering teams.
- Translate business objectives into scalable AI solutions through architecture design, proof-of-concepts, prototypes, and reference implementations.
- Define enterprise patterns for AI applications, including RAG, agentic AI, model integration, deployment, and operational readiness.
- Establish AI-enabled DevSecOps, CI/CD, testing, release management, quality assurance, and governance processes for production AI solutions.
- Ensure AI solutions meet enterprise security, privacy, regulatory, and Responsible AI requirements while maintaining scalability, reliability, and observability.
- Evaluate and communicate the effectiveness of AI-native delivery practices,



providing recommendations to support broader enterprise adoption.
- Provide technical leadership, mentoring, architecture reviews, and code guidance to senior developers and engineering teams.

Requirements:

- 12+ years of progressive software development and solution/systems architecture experience, including recent hands-on delivery with LLMs or AI integration (an equivalent combination of education and experience may be considered).
- Proven experience designing AI-powered solutions (LLM/RAG/agentic systems) and transitioning them from prototype to stable production release, with robust current engineering ability on par with senior developers.
- Demonstrated experience defining engineering standards and authoring Architecture Definition Documents (ADDs), technical playbooks, and reference architectures.
- Strong development capability in Python and C#/.NET Core, with object-oriented design.
- Hands-on experience with agentic orchestration frameworks (e.g., Semantic Kernel, LangGraph, AutoGen, CrewAI) and AI/ML frameworks (e.g., OpenAI SDKs, LangChain, Hugging Face).
- Familiarity with RAG/GraphRAG, embeddings, and vector databases (e.g., Cosmos DB, pgvector, Qdrant, Azure AI Search).




- Experience developing and executing AI-driven tests (e.g., LLM evals, regression suites, and automated quality gates).
- Expert knowledge of designing and implementing cloud-ready solutions on Azure, spanning microservices, containers, CI/CD pipelines, and MLOps practices.
- Knowledge of APIs, Git, and Agile software development practices.
- Ability to synthesize complexity and communicate AI capabilities clearly to diverse audiences, including senior stakeholders.
- Strong collaboration and leadership skills within cross-functional teams.

Preferred Requirements:

- Azure Solutions Architect Expert or AWS Certified Solutions Architect, with demonstrated mastery of Azure OpenAI Service architectures, MLOps orchestration, and enterprise data landing zones.
- Experience with advanced agentic frameworks and multi-agent orchestration (e.g., CrewAI, LangGraph, AutoGen Studio, Semantic Kernel Agents).
- Hands-on use of AI coding assistants and agentic development tools (e.g., GitHub Copilot, Cursor) in production delivery.
- Experience with AI evaluation and benchmarking platforms (e.g., Azure AI Evaluation SDK, DeepEval).
- Familiarity with AI observability and tracing tools (e.g., Dynatrace, LangSmith, MLflow Tracing, Weights & Biases, PromptFlow).
- Experience with ASP.NET and .NET 8/10 for cloud-native web applications and APIs.
- Experience with Infrastructure as Code (Terraform or Bicep).
- Experience in regulated industries (insurance, healthcare, government, financial services) where compliance, audit, and governance are required.

📌 AI Solutions Architect (Vancouver)
🏢 New Value Solutions
📍 Vancouver